HomeMy WebLinkAboutC2023-047 - Roadway Asset Services1
Contract No. 2023-047
PROFESSIONAL SERVICES AGREEMENT
BETWEEN
THE TOWN OF FOUNTAIN HILLS
AND
ROADWAY ASSET SERVICES, LLC
THIS PROFESSIONAL SERVICES AGREEMENT (this “Agreement”) is entered into
upon execution, between the Town of Fountain Hills, an Arizona municipal corporation (the
“Town”) and Roadway Asset Services, LLC, a(n) Texas limited liability company (the “Vendor”
or “Consultant”).
RECITALS
A. The Town issued a Request for Proposals, RFP No. “RFP-2022-026” (the “RFP”),
a copy of which is on file with the Town and incorporated herein by reference, seeking proposals
from vendors interested in providing Pavement Condition and Evaluation Related Services for the
Town (the “Services”).
B. The Vendor responded to the RFP by submitting a proposal (the “Proposal”),
attached hereto as Exhibit A and incorporated herein by reference.
C. The Town desires to enter into an Agreement with the Vendor to perform the
Services, as set forth below.
AGREEMENT
NOW, THEREFORE, in consideration of the foregoing introduction and recitals, which
are incorporated herein by reference, the following mutual covenants and conditions, and other
good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged,
the Town and the Vendor hereby agree as follows:
1. Term of Agreement. This Agreement shall be effective as of the date of execution
and shall remain in full force and effect until June 30, 2023 (the “Initial Term”), unless terminated
as otherwise provided in this Agreement. After the expiration of the Initial Term, this Agreement
may be renewed for up four successive one-year terms (each, a “Renewal Term”) if: (i) it is deemed
in the best interests of the Town, subject to availability and appropriation of funds for renewal, (ii)
at least 30 days prior to the end of the then-current term of this Agreement, the Vendor requests,
in writing, to extend this Agreement for an additional one-year term and (iii) the Town approves
the additional one-year term in writing (including any price adjustments approved as part of this
Agreement), as evidenced by the Town Manager’s signature thereon, which approval may be
withheld by the Town for any reason. The Vendor’s failure to seek a renewal of this Agreement
shall cause this Agreement to terminate at the end of the then-current term of this Agreement;
provided, however, that the Town may, at its discretion and with the agreement of the Vendor,
elect to waive this requirement and renew this Agreement. The Initial Term and all Renewal
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Terms, if any, are collectively referred to herein as the “Term.” Upon renewal, the terms and
conditions of this Agreement shall remain in full force and effect.
2. Scope of Work. Vendor shall provide the Services as set forth in the Proposal
attached hereto as Exhibit A and incorporated herein by reference.
3. Compensation. The Town shall pay the Vendor an amount not to exceed $59,977
(including all renewals), at the rates set forth in the Proposal attached hereto as Exhibit A and
incorporated herein by reference. Any change to the aggregate amount of the Agreement must be
affirmed and ratified via an executed amendment. All remaining terms and conditions of the
Agreement shall remain in full force and effect.
4. Payments. The Town shall pay the Vendor monthly (and the Vendor shall invoice
the Town monthly), based upon work performed and completed to date, and upon submission and
approval of invoices. All invoices shall document and itemize all work completed to date. Each
invoice statement shall include a record of time expended and work performed in sufficient detail
to justify payment. This Agreement must be referenced on all invoices.
5. Documents. All documents, including any intellectual property rights thereto,
prepared and submitted to the Town pursuant to this Agreement shall be the property of the Town.
6. Vendor Personnel. Vendor shall provide adequate, experienced personnel, capable
of and devoted to the successful performance of the Services under this Agreement. Vendor agrees
to assign specific individuals to key positions. If deemed qualified, the Vendor is encouraged to
hire Town residents to fill vacant positions at all levels. Vendor agrees that, upon commencement
of the Services to be performed under this Agreement, key personnel shall not be removed or
replaced without prior written notice to the Town. If key personnel are not available to perform
the Services for a continuous period exceeding 30 calendar days, or are expected to devote
substantially less effort to the Services than initially anticipated, Vendor shall immediately notify
the Town of same and shall, subject to the concurrence of the Town, replace such personnel with
personnel possessing substantially equal ability and qualifications.
7. Inspection; Acceptance. All work shall be subject to inspection and acceptance by
the Town at reasonable times during Vendor’s performance. The Vendor shall provide and
maintain a self-inspection system that is acceptable to the Town.
8. Licenses; Materials. Vendor shall maintain in current status all federal, state and
local licenses and permits required for the operation of the business conducted by the Vendor. The
Town has no obligation to provide Vendor, its employees or subcontractors any business
registrations or licenses required to perform the specific services set forth in this Agreement. The
Town has no obligation to provide tools, equipment or material to Vendor.
9. Performance Warranty. Vendor warrants that the Services rendered will conform
to the requirements of this Agreement and with the care and skill ordinarily used by members of
the same profession practicing under similar circumstances at the same time and in the same
locality.
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10. Indemnification. To the fullest extent permitted by law, the Vendor shall
indemnify, defend and hold harmless the Town and each council member, officer, employee or
agent thereof (the Town and any such person being herein called an “Indemnified Party”), for,
from and against any and all losses, claims, damages, liabilities, costs and expenses (including, but
not limited to, reasonable attorneys’ fees, court costs and the costs of appellate proceedings) to
which any such Indemnified Party may become subject, under any theory of liability whatsoever
(“Claims”), insofar as such Claims (or actions in respect thereof) relate to, arise out of, or are
caused by or based upon the negligent acts, intentional misconduct, errors, mistakes or omissions,
breach of contract, in connection with the work or services of the Vendor, its officers, employees,
agents, or any tier of subcontractor in the performance of this Agreement. The amount and type
of insurance coverage requirements set forth below will in no way be construed as limiting the
scope of the indemnity in this Section.
11. Insurance.
11.1 General.
A. Insurer Qualifications. Without limiting any obligations or
liabilities of Vendor, Vendor shall purchase and maintain, at its own expense, hereinafter
stipulated minimum insurance with insurance companies authorized to do business in the
State of Arizona pursuant to ARIZ. REV. STAT. § 20-206, as amended, with an AM Best,
Inc. rating of A- or above with policies and forms satisfactory to the Town. Failure to
maintain insurance as specified herein may result in termination of this Agreement at the
Town’s option.
B. No Representation of Coverage Adequacy. By requiring insurance
herein, the Town does not represent that coverage and limits will be adequate to protect
Vendor. The Town reserves the right to review any and all of the insurance policies and/or
endorsements cited in this Agreement but has no obligation to do so. Failure to demand
such evidence of full compliance with the insurance requirements set forth in this
Agreement or failure to identify any insurance deficiency shall not relieve Vendor from,
nor be construed or deemed a waiver of, its obligation to maintain the required insurance
at all times during the performance of this Agreement.
C. Additional Insured. All insurance coverage, except Workers’
Compensation insurance and Professional Liability insurance, if applicable, shall name, to
the fullest extent permitted by law for claims arising out of the performance of this
Agreement, the Town, its agents, representatives, officers, directors, officials and
employees as Additional Insured as specified under the respective coverage sections of this
Agreement.
D. Coverage Term. All insurance required herein shall be maintained
in full force and effect until all work or services required to be performed under the terms
of this Agreement are satisfactorily performed, completed and formally accepted by the
Town, unless specified otherwise in this Agreement.
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E. Primary Insurance. Vendor’s insurance shall be primary insurance
with respect to performance of this Agreement and in the protection of the Town as an
Additional Insured.
F. Claims Made. In the event any insurance policies required by this
Agreement are written on a “claims made” basis, coverage shall extend, either by keeping
coverage in force or purchasing an extended reporting option, for three years past
completion and acceptance of the services. Such continuing coverage shall be evidenced
by submission of annual Certificates of Insurance citing applicable coverage is in force and
contains the provisions as required herein for the three-year period.
G. Waiver. All policies, except for Professional Liability, including
Workers’ Compensation insurance, shall contain a waiver of rights of recovery
(subrogation) against the Town, its agents, representatives, officials, officers and
employees for any claims arising out of the work or services of Vendor. Vendor shall
arrange to have such subrogation waivers incorporated into each policy via formal written
endorsement thereto.
H. Policy Deductibles and/or Self-Insured Retentions. The policies set
forth in these requirements may provide coverage that contains deductibles or self-insured
retention amounts. Such deductibles or self-insured retention shall not be applicable with
respect to the policy limits provided to the Town. Vendor shall be solely responsible for
any such deductible or self-insured retention amount.
I. Use of Subcontractors. If any work under this Agreement is
subcontracted in any way, Vendor shall execute written agreements with its subcontractors
containing the indemnification provisions set forth in this Agreement and insurance
requirements set forth herein protecting the Town and Vendor. Vendor shall be responsible
for executing any agreements with its subcontractors and obtaining certificates of insurance
verifying the insurance requirements.
J. Evidence of Insurance. Prior to commencing any work or services
under this Agreement, Vendor will provide the Town with suitable evidence of insurance
in the form of certificates of insurance and a copy of the declaration page(s) of the insurance
policies as required by this Agreement, issued by Vendor’s insurance insurer(s) as evidence
that policies are placed with acceptable insurers as specified herein and provide the
required coverages, conditions and limits of coverage specified in this Agreement and that
such coverage and provisions are in full force and effect. Confidential information such as
the policy premium may be redacted from the declaration page(s) of each insurance policy,
provided that such redactions do not alter any of the information required by this
Agreement. The Town shall reasonably rely upon the certificates of insurance and
declaration page(s) of the insurance policies as evidence of coverage but such acceptance
and reliance shall not waive or alter in any way the insurance requirements or obligations
of this Agreement. If any of the policies required by this Agreement expire during the life
of this Agreement, it shall be Vendor’s responsibility to forward renewal certificates and
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declaration page(s) to the Town 30 days prior to the expiration date. All certificates of
insurance and declarations required by this Agreement shall be identified by referencing
the RFP number and title or this Agreement. A $25.00 administrative fee shall be assessed
for all certificates or declarations received without the appropriate RFP number and title or
a reference to this Agreement, as applicable. Additionally, certificates of insurance and
declaration page(s) of the insurance policies submitted without referencing the appropriate
RFP number and title or a reference to this Agreement, as applicable, will be subject to
rejection and may be returned or discarded. Certificates of insurance and declaration
page(s) shall specifically include the following provisions:
(1) The Town, its agents, representatives, officers, directors,
officials and employees are Additional Insureds as follows:
(a) Commercial General Liability – Under Insurance
Services Office, Inc., (“ISO”) Form CG 20 10 03 97 or equivalent.
(b) Auto Liability – Under ISO Form CA 20 48 or
equivalent.
(c) Excess Liability – Follow Form to underlying
insurance.
(2) Vendor’s insurance shall be primary insurance with respect
to performance of this Agreement.
(3) All policies, except for Professional Liability, including
Workers’ Compensation, waive rights of recovery (subrogation) against Town, its
agents, representatives, officers, officials and employees for any claims arising out
of work or services performed by Vendor under this Agreement.
(4) ACORD certificate of insurance form 25 (2014/01) is
preferred. If ACORD certificate of insurance form 25 (2001/08) is used, the
phrases in the cancellation provision “endeavor to” and “but failure to mail such
notice shall impose no obligation or liability of any kind upon the company, its
agents or representatives” shall be deleted. Certificate forms other than ACORD
form shall have similar restrictive language deleted.
11.2 Required Insurance Coverage.
A. Commercial General Liability. Vendor shall maintain “occurrence”
form Commercial General Liability insurance with an unimpaired limit of not less than
$1,000,000 for each occurrence, $2,000,000 Products and Completed Operations Annual
Aggregate and a $2,000,000 General Aggregate Limit. The policy shall cover liability
arising from premises, operations, independent contractors, products-completed
operations, personal injury and advertising injury. Coverage under the policy will be at
least as broad as ISO policy form CG 00 010 93 or equivalent thereof, including but not
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limited to, separation of insured’s clause. To the fullest extent allowed by law, for claims
arising out of the performance of this Agreement, the Town, its agents, representatives,
officers, officials and employees shall be cited as an Additional Insured under ISO,
Commercial General Liability Additional Insured Endorsement form CG 20 10 03 97, or
equivalent, which shall read “Who is an Insured (Section II) is amended to include as an
insured the person or organization shown in the Schedule, but only with respect to liability
arising out of “your work” for that insured by or for you.” If any Excess insurance is
utilized to fulfill the requirements of this subsection, such Excess insurance shall be
“follow form” equal or broader in coverage scope than underlying insurance.
B. Vehicle Liability. Vendor shall maintain Business Automobile
Liability insurance with a limit of $1,000,000 each occurrence on Vendor’s owned, hired
and non-owned vehicles assigned to or used in the performance of the Vendor’s work or
services under this Agreement. Coverage will be at least as broad as ISO coverage code
“1” “any auto” policy form CA 00 01 12 93 or equivalent thereof. To the fullest extent
allowed by law, for claims arising out of the performance of this Agreement, the Town, its
agents, representatives, officers, directors, officials and employees shall be cited as an
Additional Insured under ISO Business Auto policy Designated Insured Endorsement form
CA 20 48 or equivalent. If any Excess insurance is utilized to fulfill the requirements of
this subsection, such Excess insurance shall be “follow form” equal or broader in coverage
scope than underlying insurance.
C. Professional Liability. If this Agreement is the subject of any
professional services or work, or if the Vendor engages in any professional services or
work in any way related to performing the work under this Agreement, the Vendor shall
maintain Professional Liability insurance covering negligent errors and omissions arising
out of the Services performed by the Vendor, or anyone employed by the Vendor, or
anyone for whose negligent acts, mistakes, errors and omissions the Vendor is legally
liable, with an unimpaired liability insurance limit of $2,000,000 each claim and
$2,000,000 annual aggregate.
D. Workers’ Compensation Insurance. Vendor shall maintain
Workers’ Compensation insurance to cover obligations imposed by federal and state
statutes having jurisdiction over Vendor’s employees engaged in the performance of work
or services under this Agreement and shall also maintain Employers Liability Insurance of
not less than $500,000 for each accident, $500,000 disease for each employee and
$1,000,000 disease policy limit.
11.3 Cancellation and Expiration Notice. Insurance required herein shall not
expire, be canceled, or be materially changed without 30 days’ prior written notice to the Town.
12. Termination; Cancellation.
12.1 For Town’s Convenience. This Agreement is for the convenience of the
Town and, as such, may be terminated without cause after receipt by Vendor of written notice by
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the Town. Upon termination for convenience, Vendor shall be paid for all undisputed services
performed to the termination date.
12.2 For Cause. If either party fails to perform any obligation pursuant to this
Agreement and such party fails to cure its nonperformance within 30 days after notice of
nonperformance is given by the non-defaulting party, such party will be in default. In the event of
such default, the non-defaulting party may terminate this Agreement immediately for cause and
will have all remedies that are available to it at law or in equity including, without limitation, the
remedy of specific performance. If the nature of the defaulting party’s nonperformance is such
that it cannot reasonably be cured within 30 days, then the defaulting party will have such
additional periods of time as may be reasonably necessary under the circumstances, provided the
defaulting party immediately (A) provides written notice to the non-defaulting party and (B)
commences to cure its nonperformance and thereafter diligently continues to completion the cure
of its nonperformance. In no event shall any such cure period exceed 90 days. In the event of
such termination for cause, payment shall be made by the Town to the Vendor for the undisputed
portion of its fee due as of the termination date.
12.3 Due to Work Stoppage. This Agreement may be terminated by the Town
upon 30 days’ written notice to Vendor in the event that the Services are permanently abandoned.
In the event of such termination due to work stoppage, payment shall be made by the Town to the
Vendor for the undisputed portion of its fee due as of the termination date.
12.4 Conflict of Interest. This Agreement is subject to the provisions of ARIZ.
REV. STAT. § 38-511. The Town may cancel this Agreement without penalty or further obligations
by the Town or any of its departments or agencies if any person significantly involved in initiating,
negotiating, securing, drafting or creating this Agreement on behalf of the Town or any of its
departments or agencies is, at any time while this Agreement or any extension of this Agreement
is in effect, an employee of any other party to this Agreement in any capacity or a Vendor to any
other party of this Agreement with respect to the subject matter of this Agreement.
12.5 Gratuities. The Town may, by written notice to the Vendor, cancel this
Agreement if it is found by the Town that gratuities, in the form of economic opportunity, future
employment, entertainment, gifts or otherwise, were offered or given by the Vendor or any agent
or representative of the Vendor to any officer, agent or employee of the Town for the purpose of
securing this Agreement. In the event this Agreement is canceled by the Town pursuant to this
provision, the Town shall be entitled, in addition to any other rights and remedies, to recover and
withhold from the Vendor an amount equal to 150% of the gratuity.
12.6 Agreement Subject to Appropriation. This Agreement is subject to the
provisions of ARIZ. CONST. ART. IX, § 5 and ARIZ. REV. STAT. § 42-17106. The provisions of
this Agreement for payment of funds by the Town shall be effective when funds are appropriated
for purposes of this Agreement and are actually available for payment. The Town shall be the sole
judge and authority in determining the availability of funds under this Agreement and the Town
shall keep the Vendor fully informed as to the availability of funds for this Agreement. The
obligation of the Town to make any payment pursuant to this Agreement is a current expense of
the Town, payable exclusively from such annual appropriations, and is not a general obligation or
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indebtedness of the Town. If the Town Council fails to appropriate money sufficient to pay the
amounts as set forth in this Agreement during any immediately succeeding fiscal year, this
Agreement shall terminate at the end of then-current fiscal year and the Town and the Vendor shall
be relieved of any subsequent obligation under this Agreement.
13. Miscellaneous.
13.1 Independent Contractor. It is clearly understood that each party will act in
its individual capacity and not as an agent, employee, partner, joint venturer, or associate of the
other. An employee or agent of one party shall not be deemed or construed to be the employee or
agent of the other for any purpose whatsoever. The Vendor acknowledges and agrees that the
Services provided under this Agreement are being provided as an independent contractor, not as
an employee or agent of the Town. Vendor, its employees and subcontractors are not entitled to
workers’ compensation benefits from the Town. The Town does not have the authority to
supervise or control the actual work of Vendor, its employees or subcontractors. The Vendor, and
not the Town, shall determine the time of its performance of the services provided under this
Agreement so long as Vendor meets the requirements as agreed in Section 2 above and in Exhibit
A. Vendor is neither prohibited from entering into other contracts nor prohibited from practicing
its profession elsewhere. Town and Vendor do not intend to nor will they combine business
operations under this Agreement.
13.2 Applicable Law; Venue. This Agreement shall be governed by the laws of
the State of Arizona and suit pertaining to this Agreement may be brought only in courts in
Maricopa County, Arizona.
13.3 Laws and Regulations. Vendor shall keep fully informed and shall at all
times during the performance of its duties under this Agreement ensure that it and any person for
whom the Vendor is responsible abides by, and remains in compliance with, all rules, regulations,
ordinances, statutes or laws affecting the Services, including, but not limited to, the following: (A)
existing and future Town and County ordinances and regulations; (B) existing and future State and
Federal laws; and (C) existing and future Occupational Safety and Health Administration
standards.
13.4 Amendments. This Agreement may be modified only by a written
amendment signed by persons duly authorized to enter into contracts on behalf of the Town and
the Vendor.
13.5 Provisions Required by Law. Each and every provision of law and any
clause required by law to be in this Agreement will be read and enforced as though it were included
herein and, if through mistake or otherwise any such provision is not inserted, or is not correctly
inserted, then upon the application of either party, this Agreement will promptly be physically
amended to make such insertion or correction.
13.6 Severability. The provisions of this Agreement are severable to the extent
that any provision or application held to be invalid by a Court of competent jurisdiction shall not
affect any other provision or application of this Agreement which may remain in effect without
the invalid provision or application.
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13.7 Entire Agreement; Interpretation; Parol Evidence. This Agreement
represents the entire agreement of the parties with respect to its subject matter, and all previous
agreements, whether oral or written, entered into prior to this Agreement are hereby revoked and
superseded by this Agreement. No representations, warranties, inducements or oral agreements
have been made by any of the parties except as expressly set forth herein, or in any other
contemporaneous written agreement executed for the purposes of carrying out the provisions of
this Agreement. This Agreement shall be construed and interpreted according to its plain meaning,
and no presumption shall be deemed to apply in favor of, or against the party drafting this
Agreement. The parties acknowledge and agree that each has had the opportunity to seek and
utilize legal counsel in the drafting of, review of, and entry into this Agreement.
13.8 Assignment; Delegation. No right or interest in this Agreement shall be
assigned or delegated by Vendor without prior, written permission of the Town, signed by the
Town Manager. Any attempted assignment or delegation by Vendor in violation of this provision
shall be a breach of this Agreement by Vendor.
13.9 Subcontracts. No subcontract shall be entered into by the Vendor with any
other party to furnish any of the material or services specified herein without the prior written
approval of the Town. The Vendor is responsible for performance under this Agreement whether
or not subcontractors are used. Failure to pay subcontractors in a timely manner pursuant to any
subcontract shall be a material breach of this Agreement by Vendor.
13.10 Rights and Remedies. No provision in this Agreement shall be construed,
expressly or by implication, as waiver by the Town of any existing or future right and/or remedy
available by law in the event of any claim of default or breach of this Agreement. The failure of
the Town to insist upon the strict performance of any term or condition of this Agreement or to
exercise or delay the exercise of any right or remedy provided in this Agreement, or by law, or the
Town’s acceptance of and payment for services, shall not release the Vendor from any
responsibilities or obligations imposed by this Agreement or by law, and shall not be deemed a
waiver of any right of the Town to insist upon the strict performance of this Agreement.
13.11 Attorneys’ Fees. In the event either party brings any action for any relief,
declaratory or otherwise, arising out of this Agreement or on account of any breach or default
hereof, the prevailing party shall be entitled to receive from the other party reasonable attorneys’
fees and reasonable costs and expenses, determined by the court sitting without a jury, which shall
be deemed to have accrued on the commencement of such action and shall be enforced whether or
not such action is prosecuted through judgment.
13.12 Liens. All materials or services shall be free of all liens and, if the Town
requests, a formal release of all liens shall be delivered to the Town.
13.13 Offset.
A. Offset for Damages. In addition to all other remedies at law or
equity, the Town may offset from any money due to the Vendor any amounts Vendor owes
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to the Town for damages resulting from breach or deficiencies in performance or breach of
any obligation under this Agreement.
B. Offset for Delinquent Fees or Taxes. The Town may offset from
any money due to the Vendor any amounts Vendor owes to the Town for delinquent fees,
transaction privilege taxes and property taxes, including any interest or penalties.
13.14 Notices and Requests. Any notice or other communication required or
permitted to be given under this Agreement shall be in writing and shall be deemed to have been
duly given if (A) delivered to the party at the address set forth below, (B) deposited in the U.S.
Mail, registered or certified, return receipt requested, to the address set forth below or (C) given to
a recognized and reputable overnight delivery service, to the address set forth below:
If to the Town: Town of Fountain Hills
16705 East Avenue of the Fountains
Fountain Hills, Arizona 85268
Attn: Grady E. Miller, Town Manager
With copy to: Town of Fountain Hills
16705 East Avenue of the Fountains
Fountain Hills, Arizona 85268
Attn: Aaron D. Arnson, Town Attorney
If to Vendor: Roadway Asset Services, LLC
6001 W. Parmer Lane, Suite 370-1102
Austin, Tx. 78727
Attn: Bart Williamson
or at such other address, and to the attention of such other person or officer, as any party may
designate in writing by notice duly given pursuant to this subsection. Notices shall be deemed
received (A) when delivered to the party, (B) three business days after being placed in the U.S.
Mail, properly addressed, with sufficient postage or (C) the following business day after being
given to a recognized overnight delivery service, with the person giving the notice paying all
required charges and instructing the delivery service to deliver on the following business day. If
a copy of a notice is also given to a party’s counsel or other recipient, the provisions above
governing the date on which a notice is deemed to have been received by a party shall mean and
refer to the date on which the party, and not its counsel or other recipient to which a copy of the
notice may be sent, is deemed to have received the notice.
13.15 Confidentiality of Records. The Vendor shall establish and maintain
procedures and controls that are acceptable to the Town for the purpose of ensuring that
information contained in its records or obtained from the Town or from others in carrying out its
obligations under this Agreement shall not be used or disclosed by it, its agents, officers, or
employees, except as required to perform Vendor’s duties under this Agreement. Persons
requesting such information should be referred to the Town. Vendor also agrees that any
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information pertaining to individual persons shall not be divulged other than to employees or
officers of Vendor as needed for the performance of duties under this Agreement.
13.16 Records and Audit Rights. To ensure that the Vendor and its subcontractors
are complying with the warranty under subsection 13.17 below, Vendor’s and its subcontractor’s
books, records, correspondence, accounting procedures and practices, and any other supporting
evidence relating to this Agreement, including the papers of any Vendor and its subcontractors’
employees who perform any work or services pursuant to this Agreement (all of the foregoing
hereinafter referred to as “Records”), shall be open to inspection and subject to audit and/or
reproduction during normal working hours by the Town, to the extent necessary to adequately
permit (A) evaluation and verification of any invoices, payments or claims based on Vendor’s and
its subcontractors’ actual costs (including direct and indirect costs and overhead allocations)
incurred, or units expended directly in the performance of work under this Agreement and (B)
evaluation of the Vendor’s and its subcontractors’ compliance with the Arizona employer
sanctions laws referenced in subsection 13.17 below. To the extent necessary for the Town to
audit Records as set forth in this subsection, Vendor and its subcontractors hereby waive any rights
to keep such Records confidential. For the purpose of evaluating or verifying such actual or
claimed costs or units expended, the Town shall have access to said Records, even if located at its
subcontractors’ facilities, from the effective date of this Agreement for the duration of the work
and until three years after the date of final payment by the Town to Vendor pursuant to this
Agreement. Vendor and its subcontractors shall provide the Town with adequate and appropriate
workspace so that the Town can conduct audits in compliance with the provisions of this
subsection. The Town shall give Vendor or its subcontractors reasonable advance notice of
intended audits. Vendor shall require its subcontractors to comply with the provisions of this
subsection by insertion of the requirements hereof in any subcontract pursuant to this Agreement.
13.17 E-verify Requirements. To the extent applicable under ARIZ. REV. STAT. §
41-4401, the Vendor and its subcontractors warrant compliance with all federal immigration laws
and regulations that relate to their employees and their compliance with the E-verify requirements
under ARIZ. REV. STAT. § 23-214(A). Vendor’s or its subcontractors’ failure to comply with such
warranty shall be deemed a material breach of this Agreement and may result in the termination
of this Agreement by the Town.
13.18 Israel. Vendor certifies that it is not currently engaged in, and agrees for
the duration of this Agreement that it will not engage in a “boycott,” as that term is defined in
ARIZ. REV. STAT. § 35-393, of Israel.
13.19 Conflicting Terms. In the event of any inconsistency, conflict or ambiguity
among the terms of this Agreement, the Proposal, any Town-approved invoices, and the RFP, the
documents shall govern in the order listed herein.
13.20 Non-Exclusive Contract. This Agreement is entered into with the
understanding and agreement that it is for the sole convenience of the Town. The Town reserves
the right to obtain like goods and services from another source when necessary.
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13.21 Cooperative Purchasing. Specific eligible political subdivisions and
nonprofit educational or public health institutions (“Eligible Procurement Unit(s)”) are permitted
to utilize procurement agreements developed by the Town, at their discretion and with the
agreement of the awarded Consultant. Consultant may, at its sole discretion, accept orders from
Eligible Procurement Unit(s) for the purchase of the Materials and/or Services at the prices and
under the terms and conditions of this Agreement, in such quantities and configurations as may be
agreed upon between the parties. All cooperative procurements under this Agreement shall be
transacted solely between the requesting Eligible Procurement Unit and Consultant. Payment for
such purchases will be the sole responsibility of the Eligible Procurement Unit. The exercise of
any rights, responsibilities or remedies by the Eligible Procurement Unit shall be the exclusive
obligation of such unit. The Town assumes no responsibility for payment, performance or any
liability or obligation associated with any cooperative procurement under this Agreement. The
Town shall not be responsible for any disputes arising out of transactions made by others.
[SIGNATURES ON FOLLOWING PAGES]
IN WITNESS WHEREOF, the parties hereto have executed this Agreement as of the date
and year first set forth above.
“Town”
TOWN OF FOUNTAIN HILLS,
an Arizona municipal corporation
Grady E. Miller, Town Manager
ATTEST:
Linda Mendenhall, Town Clerk
APPROVED AS TO FORM:
Aaron D. Arnson, Town Attorney
[SIGNATURES CONTINUE ON FOLLOWING PAGES]
Aaron Arnson (Oct 20, 2022 15:22 PDT)
“Contractor/Vendor/Consultant”
____________________________________,
By:
Name:
Title:
Roadway Asset Services, LLC, a(n) Texas limited liability company
Zachary Thomason (Oct 19, 2022 10:29 PDT)
Zachary Thomason
Zachary Thomason
Senior Vice President
EXHIBIT A
TO
PROFESSIONAL SERVICES AGREEMENT
BETWEEN
THE TOWN OF FOUNTAIN HILLS
AND
ROADWAY ASSET SERVICES, LLC
[Consultant’s Proposal]
See following pages.
Town of Fountain Hills
Admin-Procurement
Robert Durham, Procurement Officer
16705 E. Avenue of the Fountains, Fountain Hills, AZ 85268
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
RESPONSE DEADLINE: September 1, 2022 at 5:00 pm
Report Generated: Monday, September 19, 2022
Roadway Asset Services, LLC Proposal
CONTACT INFORMATION
Company:
Roadway Asset Services, LLC
Email:
bwilliamson@roadwayassetservices.com
Contact:
Bart Williamson
Address:
6001 W Parmer Lane
Suite 370-1102
Austin, TX 78727
Phone:
(210) 837-5249
Website:
www.roadwayassetservices.com
Submission Date:
Aug 31, 2022 4:06 PM
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 2
ADDENDA CONFIRMATION
No addenda issued
QUESTIONNAIRE
1. Certification
By confirming questions under this section, the Vendor certifies:
NO COLLUSION*
Pass
The submission of the Proposal did not involve collusion or other anti-competitive practices.
Confirmed
NO DISCRIMINATION*
Pass
It shall not discriminate against any employee or applicant for employment in violation of Federal Executive Order 11246.
Confirmed
NO GRATUITY*
Pass
It has not given, offered to give, nor intends to give at any time hereafter, any economic opportunity, future employment, gi ft, loan,
gratuity, special discount, trip favor or service to a Town employee, officer or agent in connection with the submitted Proposal. It
(including the Vendor’s employees, representatives, agents, lobbyists, attorneys, and subcontractors) has refrained, under penalty of
disqualification, from direct or indirect contact for the purpose of influencing the selection or creating bias in the selection process
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 3
with any person who may play a part in the selection process, including the Selection Committee, elected officials, the Town Manager,
Assistant Town Managers, Department Heads, and other Town staff. All contact must be addressed to the Town’s Procurement Agent,
except for questions submitted as set forth in Subsection 1.4 (Inquiries), above. Any attempt to influence the selec tion process by any
means shall void the submitted Proposal and any resulting Agreement.
Confirmed
FINANCIAL STABILITY*
Pass
It is financially stable, solvent and has adequate cash reserves to meet all financial obligations including any potential co sts resulting
from an award of the Agreement.
Confirmed
NO SIGNATURE/FALSE OR MISLEADING STATEMENT*
Pass
The signature on the cover letter of the Proposal and the Vendor Information Form is genuine and the person signing has the
authority to bind the Vendor. Failure to sign the Proposal and the Vendor Information Form, or signing either with a false or
misleading statement, shall void the submitted Proposal and any resulting Agreement.
Confirmed
PROFESSIONAL SERVICES AGREEMENT*
Pass
In addition to reviewing and understanding the submittal requirements, it has reviewed the attached sample Professional Services
Agreement including the Scope of Work and other Exhibits.
Confirmed
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 4
REFERENCE CHECKS*
Pass
References will be checked, and it is Vendor’s responsibility to ensure that all information is accurate and current. Vendor authorizes
the Town’s representative to verify all information from these references and releases all those concerned from any liability in
connection with the information they provide. Inability of the Town to verify references shall result in the Proposal being considered
non-responsive.
Confirmed
2. Vendor Proposal
GENERAL INFORMATION*
Pass
A. One page cover letter as described in the section titled "RFP Submission Process", the subsection titled "Required Submittal".
B. Provide Vendor identification information. Explain the Vendor’s legal organization including the legal name, address,
identification number and legal form of the Vendor (e.g., partnership, corporation, joint venture, limited liability company, sole
proprietorship). If a joint venture, identify the members of the joint venture and provide all of the information required under
this section for each member. If a limited liability company, provide the name of the member or members authorized to act on
the company’s behalf. If the Vendor is a wholly owned subsidiary of another company, identify the parent company. If the
corporation is a nonprofit corporation, provide nonprofit documentation. Provide the name, address and telephone number of
the person to contact concerning the Proposal.
C. Identify the location of the Vendor’s principal office and the local work office, if different. Include any documentation that
supports the Vendor’s authority to provide services in Arizona.
D. Provide a general description of the Vendor’s organization, including years in business.
E. Identify any contract or subcontract held by the Vendor or officers of the Vendor that have been terminated within the last
five years. Briefly describe the circumstances and the outcome.
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 5
F. Identify any claims arising from a contract which resulted in litigation or arbitration within the last five years. Briefly d escribe
the circumstances and the outcome.
RAS'_General_Information.pdfRAS_Complete_Submission_for_Pavement_Condition_and_Evaluation_Related_Services.pdf
EXPERIENCE AND QUALIFICATIONS OF THE VENDOR*
Pass
A. Provide a detailed description of the Vendor’s experience in providing similar services to municipalities or other entities of a
similar size to the Town, specifically relating experience with respect to Pavement Condition and Evaluation Related Services .
B. Vendor must demonstrate successful completion of at least three similar projects within the past 60 months. For the purpose
of this Solicitation, “successful completion” means completion of a project within the established schedule and budget and
“similar projects” resemble this project in size, nature and scope. Provide a list of at least three organizations for which you
successfully completed a similar project. This list shall include, at a minimum, the following information:
1. Name of company or organization.
2. Contact name.
3. Contact address, telephone number and e-mail address.
4. Type of services provided.
5. Dates of contract initiation and expiration.
Experience_and_Qualifications_of_the_Vendor.pdf
KEY POSITIONS*
Pass
A. Identify each key personnel member that will render services to the Town including title and relevant experience required,
including the proposed project manager and project staff.
B. Indicate the roles and responsibilities of each key position. Include senior members of the Vendor only from the perspective of
what their role will be in providing services to the Town.
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 6
C. If a subcontractor will be used for all work of a certain type, include information on this subcontractor. A detailed plan for
providing supervision must be included.
D. Attach a résumé and evidence of certification, if any, for each key personnel member and/or subcontractor to be involved in
this project. Résumés should be attached together as a single appendix at the end of the Proposal and will not count toward
the Proposal page limit. However, each resume shall not exceed two pages in length.
Key_Positions.pdf
PROJECT APPROACH*
Pass
A. Describe the Vendor’s approach to performing the required Services in the section titled Scope of Work, and its approach to
contract management, including its perspective and experience on partnering, customer service, quality control, scheduling
and staff.
B. Describe any alternate approaches if it is believed that such an approach would best suit the needs of the Town. Include
rationale for alternate approaches, and indicate how the Vendor will ensure that all efforts are coordinated with the Town’s
Representatives.
Project_Approach.pdf
PROJECT SCHEDULE*
Pass
Provide a project schedule showing key project milestones and deliverables. The schedule shall demonstrate Vendor’s ability to meet
the designated milestones as listed below. Assumptions used in developing the schedule shall be identified and at a minimum the
proposed schedule shall include the following dates, if applicable.
A. Proposed Kick-Off Meeting
B. Phase I Report Due Date
C. Phase I Report Presentation Date
PROPOSAL DOCUMENT REPORT
RFP No. RFP-2022-026
Pavement Condition and Evaluation Related Services
PROPOSAL DOCUMENT REPORT
Request for Proposals - Pavement Condition and Evaluation Related Services
Page 7
D. Phase II Implementation Start Date
E. Project Completion Date
Project_Schedule.pdf
PRICING*
Pass
Pricing.pdf
Town of Fountain Hills, AZ
Proposal for Pavement Condition & Evaluation Related
Services
RFP-2022-026
Prepared by:
Roadway Asset Services, LLC.
321 W Curry St.
Chandler, Arizona 85225
bwilliamson@roadwayassetservices.com
210-837-5249
General
Information
Roadway Asset Services, LLC 321 W Curry St Chandler, AZ 85225 623-640-2897
September 1, 2022
Town of Fountain Hills
16705 East Avenue of the Fountains
Fountain Hills, AZ 85268
Cover Letter
Dear Selection Committee,
Roadway Asset Services, LLC (RAS) is pleased to submit for RFP-2022-026, Pavement
Condition and Evaluation Related Services. The RAS assigned Project Manager and Senior
Vice President, Zac Thomason, M.B.A., is thoroughly familiar with the Fountain Hills project
requirements, required analysis scenarios, ad hoc scenarios, Lucity implementation, and local
environmental conditions as he managed the Town’s last Pavement Condition Assessment. In
addition, the RAS Assistant Project Manager and Chief Data Officer Mark Kramer, P.E., is also
intimately familiar with the Fountain Hills network as he previously managed the Fountain Hills
Lucity analysis and configuration. Specifically, the RAS team will provide the following:
➢ Unrivaled Pavement Management Experience – Our firm is comprised of industry experts
assisting municipalities in the field of pavement and asset management. Throughout their
careers, the RAS leadership team has managed pavement data and ROW asset collection
for the following municipalities: Fountain Hills, AZ; Arizona DOT; Goodyear, AZ; Scottsdale,
AZ; Gilbert, AZ; Salt Lake City, UT; Denver, CO; Pueblo, CO; and Albuquerque, NM.
➢ Automated Data Collection Technology & Project Understanding – In line with the last
survey, RAS proposes the use of advanced automated data collection hardware for the
collection of 390 lane miles. RAS uses the latest technology (LCMS-2 and Ladybug 360
cameras) to collect ASTM D6433 distresses for Pavement Condition Index reporting.
➢ Lucity Expertise – RAS’ experience with the Lucity software is truly unmatched . Project
Manager, Zac Thomason, has worked with local Arizona Lucity implementations for over
17 years and Assistant Project Manager, Mark Kramer, worked
as the Director of IT at the Town of Gilbert for over 10-years
and was responsible for managing the enterprise Lucity software.
The team’s experience with Lucity spans from production loads to
the complete configuration of the Lucity operating parameters.
➢ Local Experience– With the Project Manager located at an office in Chandler, AZ and a
deep understanding of Fountain Hills’ pavement distresses and treatments, our team is
positioned for the long-term success of the Town’s pavement management program.
RAS has reviewed the RFP in its entirety and this proposal will remain valid for 1 80 days from
the date of submission. RAS acknowledges the posted Questions and Answers. RAS’ main
point of contact and authorized negotiator for contract terms and binding decisions is Bart
Williamson, FCLS. He can be contacted at (210)837-5249 and
bwilliamson@roadwayassetservices.com.
Sincerely,
Bart Williamson, CEO
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
2
Proprietary Information
7.2.1 General Information
Roadway Asset Services, LLC (RAS) is a Texas
Engineering Firm (License #: F-22104) with a Principal Office
in Austin, TX and a Local Work Office in Chandler, AZ.
RAS offers comprehensive experience and subject matter
expertise in the fields of engineering, surveying, asset
management, transportation planning, and GIS. The RAS
executive team has managed over 100,000 miles of pavement condition survey and
ROW asset data in the last 5 years. Additionally, the RAS team has extensive
experience rating pavement per the ASTM D6433 methodology via the 100% continuous
linear coverage approach that utilizes advanced line scan laser-based technology
(hardware), powerful sensor based processing algorithms for distress quantification, and
an augmented 21st century artificial intelligence (software).
RAS is a Bronze Esri Business Partner with a leadership
team composed of seasoned pavement management
professionals who bring over 100 years of pavement
condition survey management. Throughout their careers, the
RAS leadership team has been involved in pavement condition and ROW asset surveys
for agencies of varying size across the country including:
Experience with Database Systems Like Lucity
Lucity (also known as CentralSquare) is a leading provider in Asset
Management for Public Works Departments across the Country.
Lucity allows the Town to host a main platform/application for the
management of all assets. Users of Lucity can easily identify assets
owned, understand necessary repairs to managed assets, review asset performance, and
determine the cost of replacement/treatment. Key tools include:
Community Development: With the Community Development solution, the Town
can obtain data for policy decisions, analytics, and GIS integration.
Enterprise Asset Management (EAM): EAM allows the Town to leverage GIS
technology to graphically display assets and respond to issues immediately. Town
Staff can understand how each asset affects short/long-term budgets for the
management of future expenditures
Fountain Hills, AZ
Goodyear, AZ
Denver, CO
Pueblo, CO
Memphis, TN
Arizona DOT
Albuquerque, NM
San Antonio, TX
Greenville, SC
Mesa County, CO
Scottsdale, AZ
Gilbert, AZ
Austin, TX
Grand Junction, CO
Salt Lake City, UT
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
3
Proprietary Information
Citizen Engagement Software: This solution allows constituents to view service
requests and other projects for ease of mind. Town staff can process and respond
to requests faster while eliminating phone calls and manual processes.
Transportation Management: Lucity users can reduce potholes and repairs
needed with advanced insight on preventative maintenance schedules and PCI
compliance information.
Analytics: This tool allows users to create customized reports for the prediction of
future behaviors and the discovery of patterns. With the customized dashboard,
users can convert data into visualizations that provide insight into the community.
The RAS team offers the Town of Fountain Hills
unmatched subject matter expertise and knowledge
ranging from managing and delivering municipal
automated pavement data collection projects to
pavement engineering and configuration of the analysis
operating parameters of the Town’s Lucity management
system. Our team is uniquely qualified to exceed the
requirements of this project through the use of advanced
data collection technology, powerful sensor-based algorithms for distress detection,
Artificial Intelligence (AI) processing routines, and rigorous hands-on Quality Control (QC)
by an experienced pavement engineering team. The RAS team is uniquely familiar with
the Town of Fountain Hills legacy analysis configuration within Lucity in addition to local
site conditions such as the varying construction design standards related to pre-
incorporation and post-incorporation roadways. Project Manager, Mr. Thomason,
and Assistant Project Manager, Mr. Kramer, stand ready to develop custom deterioration
curves and rehabilitation activity costs for these pre-incorporation roadways.
RAS’ Legal Information and Contract History
Roadway Asset Services, LLC (legal name with EIN #85-1939454) has the following
members authorized to act on the company's behalf: Bart Williamson, CEO; Scot Gordon,
President; Zac Thomason, Senior VP; and Mark Kramer, Chief Data Officer. RAS’ retains
a Principal Work Office in Austin, TX (6001 W Parmer Lane Ste.370-1102) and a Local
Work Office in Chandler, AZ (321 W Curry St). RAS has been incorporated with the State
of Texas for two years and is registered to do business in Arizona by the Arizona
Corporation Commission (#23412705).
RAS has never been involved in litigation or had a contract terminated. We pride
ourselves on excellent communication protocols that establish mutual understanding. Our
reputation for completing projects on time and within budget has led to long-term
satisfactory relationships with our clients that result in multiple collection cycles.
Town of Fountain Hills, AZ
Proposal for Pavement Condition & Evaluation Related
Services
RFP-2022-026
Prepared by:
Roadway Asset Services, LLC.
321 W Curry St.
Chandler, Arizona 85225
bwilliamson@roadwayassetservices.com
210-837-5249
General
Information
Roadway Asset Services, LLC 321 W Curry St Chandler, AZ 85225 623-640-2897
September 1, 2022
Town of Fountain Hills
16705 East Avenue of the Fountains
Fountain Hills, AZ 85268
Cover Letter
Dear Selection Committee,
Roadway Asset Services, LLC (RAS) is pleased to submit for RFP-2022-026, Pavement
Condition and Evaluation Related Services. The RAS assigned Project Manager and Senior
Vice President, Zac Thomason, M.B.A., is thoroughly familiar with the Fountain Hills project
requirements, required analysis scenarios, ad hoc scenarios, Lucity implementation, and local
environmental conditions as he managed the Town’s last Pavement Condition Assessment. In
addition, the RAS Assistant Project Manager and Chief Data Officer Mark Kramer, P.E., is also
intimately familiar with the Fountain Hills network as he previously managed the Fountain Hills
Lucity analysis and configuration. Specifically, the RAS team will provide the following:
➢ Unrivaled Pavement Management Experience – Our firm is comprised of industry experts
assisting municipalities in the field of pavement and asset management. Throughout their
careers, the RAS leadership team has managed pavement data and ROW asset collection
for the following municipalities: Fountain Hills, AZ; Arizona DOT; Goodyear, AZ; Scottsdale,
AZ; Gilbert, AZ; Salt Lake City, UT; Denver, CO; Pueblo, CO; and Albuquerque, NM.
➢ Automated Data Collection Technology & Project Understanding – In line with the last
survey, RAS proposes the use of advanced automated data collection hardware for the
collection of 390 lane miles. RAS uses the latest technology (LCMS-2 and Ladybug 360
cameras) to collect ASTM D6433 distresses for Pavement Condition Index reporting.
➢ Lucity Expertise – RAS’ experience with the Lucity software is truly unmatched . Project
Manager, Zac Thomason, has worked with local Arizona Lucity implementations for over
17 years and Assistant Project Manager, Mark Kramer, worked
as the Director of IT at the Town of Gilbert for over 10-years
and was responsible for managing the enterprise Lucity software.
The team’s experience with Lucity spans from production loads to
the complete configuration of the Lucity operating parameters.
➢ Local Experience– With the Project Manager located at an office in Chandler, AZ and a
deep understanding of Fountain Hills’ pavement distresses and treatments, our team is
positioned for the long-term success of the Town’s pavement management program.
RAS has reviewed the RFP in its entirety and this proposal will remain valid for 1 80 days from
the date of submission. RAS acknowledges the posted Questions and Answers. RAS’ main
point of contact and authorized negotiator for contract terms and binding decisions is Bart
Williamson, FCLS. He can be contacted at (210)837-5249 and
bwilliamson@roadwayassetservices.com.
Sincerely,
Bart Williamson, CEO
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
2
Proprietary Information
7.2.1 General Information
Roadway Asset Services, LLC (RAS) is a Texas
Engineering Firm (License #: F-22104) with a Principal Office
in Austin, TX and a Local Work Office in Chandler, AZ.
RAS offers comprehensive experience and subject matter
expertise in the fields of engineering, surveying, asset
management, transportation planning, and GIS. The RAS
executive team has managed over 100,000 miles of pavement condition survey and
ROW asset data in the last 5 years. Additionally, the RAS team has extensive
experience rating pavement per the ASTM D6433 methodology via the 100% continuous
linear coverage approach that utilizes advanced line scan laser -based technology
(hardware), powerful sensor based processing algorithms for distress quantification, and
an augmented 21st century artificial intelligence (software).
RAS is a Bronze Esri Business Partner with a leadership
team composed of seasoned pavement management
professionals who bring over 100 years of pavement
condition survey management. Throughout their careers, the
RAS leadership team has been involved in pavement condition and ROW asset surveys
for agencies of varying size across the country including:
Experience with Database Systems Like Lucity
Lucity (also known as CentralSquare) is a leading provider in Asset
Management for Public Works Departments across the Country.
Lucity allows the Town to host a main platform/application for the
management of all assets. Users of Lucity can easily identify assets
owned, understand necessary repairs to managed assets, review asset performance, and
determine the cost of replacement/treatment. Key tools include:
• Community Development: With the Community Development solution, the Town
can obtain data for policy decisions, analytics, and GIS integration.
• Enterprise Asset Management (EAM): EAM allows the Town to leverage GIS
technology to graphically display assets and respond to issues immediately. Town
Staff can understand how each asset affects short/long -term budgets for the
management of future expenditures
•Fountain Hills, AZ
•Goodyear, AZ
•Denver, CO
•Pueblo, CO
•Memphis, TN
•Arizona DOT
•Albuquerque, NM
•San Antonio, TX
•Greenville, SC
•Mesa County, CO
•Scottsdale, AZ
•Gilbert, AZ
•Austin, TX
•Grand Junction, CO
•Salt Lake City, UT
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
3
Proprietary Information
• Citizen Engagement Software: This solution allows constituents to view service
requests and other projects for ease of mind. Town staff can process and respond
to requests faster while eliminating phone calls and manual processes.
• Transportation Management: Lucity users can reduce potholes and repairs
needed with advanced insight on preventative maintenance schedules and PCI
compliance information.
• Analytics: This tool allows users to create customized reports for the prediction of
future behaviors and the discovery of patterns. With the customized dashboard,
users can convert data into visualizations that provide insight into the community.
The RAS team offers the Town of Fountain Hills
unmatched subject matter expertise and knowledge
ranging from managing and delivering municipal
automated pavement data collection projects to
pavement engineering and configuration of the analysis
operating parameters of the Town’s Lucity management
system. Our team is uniquely qualified to exceed the
requirements of this project through the use of advanced
data collection technology, powerful sensor-based algorithms for distress detection,
Artificial Intelligence (AI) processing routines, and rigorous hands-on Quality Control (QC)
by an experienced pavement engineering team. The RAS team is uniquely familiar with
the Town of Fountain Hills legacy analysis configuration within Lucity in addition to local
site conditions such as the varying construction design standards related to pre-
incorporation and post-incorporation roadways. Project Manager, Mr. Thomason,
and Assistant Project Manager, Mr. Kramer, stand ready to develop custom deterioration
curves and rehabilitation activity costs for these pre-incorporation roadways.
RAS’ Legal Information and Contract History
Roadway Asset Services, LLC (legal name with EIN #85-1939454) has the following
members authorized to act on the company's behalf: Bart Williamson, CEO; Scot Gordon,
President; Zac Thomason, Senior VP; and Mark Kramer, Chief Data Officer. RAS’ retains
a Principal Work Office in Austin, TX (6001 W Parmer Lane Ste.370 -1102) and a Local
Work Office in Chandler, AZ (321 W Curry St). RAS has been incorporated with the State
of Texas for two years and is registered to do business in Arizona by the Arizona
Corporation Commission (#23412705).
RAS has never been involved in litigation or had a contract terminated. We pride
ourselves on excellent communication protocols that establish mutual understanding. Our
reputation for completing projects on time and within budget has led to long -term
satisfactory relationships with our clients that result in multiple collection cycles.
Experience and
Qualifications
of the Vendor
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
4
Proprietary Information
7.2.2 Experience and Qualifications of the Vendor
The RAS executive team is comprised of established industry veterans who have
dedicated their careers to the field of pavement and asset management. RAS team
members have performed over 200 pavement and asset management projects in the last
5 years in accordance with ASTM D6433 and AASHTO R 57. RAS offers the Town the
most experienced data collection team to provide assurance that the collection and
processing of data will be delivered on schedule. We have an outstanding record of
completing projects of similar size and scale, on time and within budget. The RAS team
advantage to the Town of Fountain Hills is as follows:
• Municipal Experience – Unlike many other proposing firms, RAS exclusively
performs Pavement Condition Assessments for municipalities of varying sizes.
RAS has completed or is currently completing pavement condition assessments
for Arizona Department of Transportation (ADOT); Denver, CO; Salt Lake City, UT;
Albuquerque, NM; Grand Junction, CO; New Braunfels, TX; Charlotte, NC; Austin,
TX; and Memphis, TN.
• Advanced Laser Technology – RAS uses the most advanced 3D surface
imaging technology available in the marketplace. The Laser Crack Measurement
System (LCMS-2) technology and 360 Degree Camera for ROW Assets (Ladybug
panoramic imagery) represent the most sophisticated hardware available for
objective and repeatable condition assessments. The combination of
technology/software will be utilized for the pavement condition assessment and
the collection of street segment attributes.
• Innovative Repair Analysis Scenario & Optimization – Project Manager, Zac
Thomason, is familiar with the Town’s requirements for multi-year planning and
repair recommendations as he managed the Town’s previous pavement condition
project. An innovation that Mr.
Thomason and Mr. Kramer would like to
reimplement in the Town’s version of
Lucity is the distinction between the pre-
incorporation and post-incorporation
roadways. The pre-incorporation
roadways have a unique design and
cross section that should be modeled
with their own deterioration curves and
more importantly, their own set of
rehabilitation activity unit rates.
• Field Pilot – One unique feature provided by the RAS team is the dedication to
quality, which is initiated through a field pilot study at the beginning of the project.
During the field pilot study, RAS’ Project Manager, Zac Thomason, MBA, and
Senior Pavement Engineer, Scot Gordon, PE, IAM, will review site conditions on
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
5
Proprietary Information
select roadways (approximately 10-miles of roadway) with Town Staff for
acceptance before the network wide pavement analysis is completed. Further
information on the RAS field pilot can be found on page 15 of this submission.
In addition, the Town of Fountain Hills roadways often suffer from o xidative
damage before load associated challenges arise. Therefore, it is imperative that
the configuration of Lucity mimics the Town’s adopted preservation strategy and
surface treatment program of applying Slurry seals in the appropriate sequence.
However, the system should also be flexible enough to accommodate for newly
innovative preservation activities that the Town may not yet be harnessing.
Lastly, Mr. Thomason and Mr. Kramer fully integrate the power of financial
optimization through the Lucity system’s ability to identify Critical Roadways (those
getting ready to drop into next rehab activity) and sequence them by their cost of
deferral. Optimization is described in more detail on page 22 of this submission.
Experience in Providing Services to Municipalities
Unlike many other proposing firms, RAS is solely dedicated to providing pavement and
asset management services to agencies throughout the Country. Throughout the last 2
years, RAS has worked with various municipalities and departments to improve the
overall street networks. Below, is a sample list of completed and active projects and their
associated scope of work.
Test
Miles
International Roughness Index (IRI)Pavement Evaluation Pavement Condition IndexGIS SegmentationROW Asset InventoryPilot Program and Field QA/QCDeterioration Curves and ModelingAMS IntegrationSystem TrainingPavement Condition and ROW Asset Survey 5,150 Charlotte, NC X X X X X X X
Pavement Data Collection 5,000 Arizona DOT X X X X
Pavement Condition and ROW Asset Survey 4,548 Albuquerque, NM X X X X X X X X X
Pavement Data Collection 3,750 Austin, TX X X X X X X
Traffic Sign Data Collection 3,750 Austin, TX X X X X
Pavement Data Assessment 3,086 Denver, CO X X X X X X X X X
Pavement Condition Survey 3,048 Memphis, TN X X X X X X X X
Pavement Evaluation and ROW Asset Services 1,594 Corpus Christi, TX X X X X X X X X X
Pavement Condition Assessment 1,500 Sarasota County, FL X X X X X X X X
Pavement Condition Survey and ROW Asset Inventory 1,023 Durham, NC X X X X X X X X X
Pavement Condition Survey 730 Salt Lake City, UT X X X X X X X X
Pavement Condition Survey 654 Pueblo, CO X X X X X X X X
Pavement Data Survey and ROW Asset Inventory 618 Denton, TX X X X X X X X X X
Pavement Condition and Inventory Survey 608 Greenville, SC X X X X X X X X X
Pavement Condition Survey 473 Kingsport, TN X X X X X X X X
Pavement Condition Survey and ROW Asset Inventory 460 New Braunfels, TX X X X X X X X X X
Pavement Data Collection 286 CTRMA X X X X X X X
Professional Asset Management Services N/A San Antonio, TX X X X
Pavement Condition Survey
Project Client Name
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
6
Proprietary Information
Sample Projects and References
City of Salt Lake City, Utah – Pavement Condition Survey
RAS performed a pavement condition survey for
Salt Lake City’s 730 test mile network. RAS
provided GIS based deliverables and formatted
data for an import into Cartegraph. RAS assisted
City staff in presenting data to City Council
regarding various funding amounts and strategies
for improving the City’s PCI and its level of service.
Prior to data collection, Mr. Rivera worked with the
City’s GIS staff to identify the appropriate mileag e
for collection and review of the GIS segmentation
provided in the City’s database. Appropriate
segmentation was laid out based on a crossroad-
to-crossroad section divider. A 10-mile pilot was
conducted for early collection to validate the
accuracy of the assessment deliverables.
The evaluation project also included a technical
report presenting the predominant distresses,
statistical analysis of the condition results, and
repair recommendations. The report provided
results based upon surface type and division of
functional classification. The results presented in
the database and report were used to develop a
cost-effective approach to maintenance,
improving the City’s preservation techniques, and
optimizing budgetary expenditures.
RAS collaborated with the City during this project
to review and compare the City’s historical
condition data from 2017 with the data collected in
the current evaluation. The purpose of th is
exercise was to update the existing pavement
deterioration curves within the Cartegraph system.
The City uses Cartegraph OMS as their pavement
management system to manage pavement
condition data, track maintenance activities,
develop models for prediction of future
performance, produce budget scenario s, and
evaluate future funding requirements.
Time Period of Project
September 2021- June 2022
Project Budget
$202,975
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Deterioration Curves -Cartegraph
-Video Logger
Client Name and Contact
David Jones, Program Manager
City of Salt Lake City
2001 S State Street N3-600
Salt Lake City, UT 84190
801-535-6425
David.jones@slcgov.com
RAS Role
RAS served as the Prime Contractor
RAS Team Members
Scot Gordon, Project Engineer
Zac Thomason, Assistant Project
Manager
Bart Williamson, Project Principal
Mark Kramer, QA/QC Manager
Rafael Rivera, Data Collection
Manager
Town of Fountain Hills
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Albuquerque, NM – Pavement Condition Survey & ROW Asset Inventory
RAS completed a pavement condition survey for
the City’s 4,548 lane mile network of roadways and
alleys. In accordance with ASTM D6433, RAS
completed the survey using its fleet of RAC
vehicles. The RAC vehicle drove all roads in both
directions to provide the most expansive collection
for the City. Additionally, RAS completed an
extensive ROW inventory and condition
assessment of the following assets for the City:
traffic signs, pavement markings, pavement
striping, sidewalks, ADA ramps, driveways,
bike lanes, curb and gutter, guardrail,
streetscapes, traffic calming devices, polygon
mapping, control boxes, backflows, and
electrical/water meters.
Imagery for pavement evaluation and asset
extraction was captured with the RAC automated
data collection vehicle. The RAC vehicle is
equipped with a second-generation Laser Crack
Measurement System (LCMS-2) for automated
pavement data acquisition, Ladybug 360 camera
system for capturing right-of-way imagery, and a
laser profiler that includes two-line lasers for
capturing roughness and ride data. The project
provided efficient and cost-effective data extraction
in a GIS environment that was seamlessly
integrated into the City’s VUEWorks asset
management software system.
For the traffic sign inventory, RAS extracted nearly
90,000 signs and provided the City with the
following attributes: Asset ID, X,Y location, MUTCD
code, sign text, photo image link, physical condition
rating (good, fair, poor), location, post total, sign
facing direction, travel direction, obstructions,
legend color, back color, hump case, support
structure type, and comments.
Time Period of Project
March 2021- July 2022
Completion
Completed on time and within
budget
Project Budget
$2,841,146
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Review Soil Conditions -PMS
-Video Logger -ROW
-Deterioration Curves
Client Name and Contact
Doug Rizor, Systems Programmer
City of Albuquerque
1 Civic Plz NW #7057
Albuquerque, NM 87102
505-366-4020
rizor.d.abq@gmail.com
RAS Role
RAS served as the Prime Contractor
RAS Team Members
Scot Gordon, Project Manager
Zac Thomason, Assistant Project
Manager
Bart Williamson, Project Principal
Rafael Rivera, Data Manager
Mark Kramer-QA/QC Manager
Town of Fountain Hills
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Proprietary Information
Durham, North Carolina – Pavement Condition Survey
RAS performed a pavement condition survey for
the City of Durham’s 1,540 lane mile network. The
project consisted of a PCI Survey and ROW asset
inventory covering traffic signs, curb and gutter,
and crosswalk slopes. Data collection for the
pavement condition survey was completed with
RAC vehicles, in accordance with the ASTM
D6433. The RAC vehicle is equipped with an
inertial profiler for Roughness and Ride
measurements, a second-generation Pavemetrics
Laser Crack Measurement System for pavement
imagery, Point Gray Ladybug 5+ 30 MP 360
camera for asset capture, and an Applanix
POS/LV for capturing GPS coordinates. Following
collection, data was imported into PAVER.
36,416 traffic signs were inventoried and assessed
with the following attributes for each sign including:
X,Y location, street name asset is located on,
Asset ID, Facility ID, photo image link, MUTCD
code, physical condition rating (good, fair, poor),
and support type. RAS also assessed curb and
gutters for 1,075 lane miles and provided the
following attributes: Asset ID, Facility ID, photo
image link, physical condition rating (good, fair,
poor), painted color, and material type. Lastly,
RAS inventoried 1,229 crosswalks.
As the Project Manager, Mr. Gordon met with the
engineering staff to refine budget requirements
and develop a 10-year maintenance plan to
improve the efficiency of treatments and decrease
the necessity for additional funds. After presenting
results to the engineering staff, Mr. Gordon met
with the City Council during budget planning
meetings to present the findings and the
recommended maintenance plan.
Time Period of Project
July 2021- December 2021
Completion
Completed on time and within
budget
Project Budget
$374,712 2021
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Review Soil Conditions -ROW
-Deterioration Curves
Client Name and Contact
Clint Blackburn, Project Manager
City of Durham
101 City Hall Plaza, Ste. 3100
Durham, NC 27701
704-301-7193
clint.blackburn@durhamnc.gov
RAS Role
Key Members worked at RAS
RAS Team Members
Scot Gordon, Project Manager
Bart Williamson, Assistant Project
Manager
Rafael Rivera, Data Collection
Manager
Sandra Marrero, Pavement
Engineer
Mark Kramer, QA/QC Manager
Key Positions
Town of Fountain Hills
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7.2.3 Key Positions - Roles and Responsibilities
Organizational structure is important to understand as it can often shed light on whom a
municipal agency will really be working with on any given assignment. While the Town
can select any qualified data collector as a short-term vendor, RAS prefers to develop
long term consultative relationships with our clients that result in turn-key pavement
management implementations that exceed client expectations. The key personnel
assigned to this project are all long-time veterans of the industry and have extensive
experience in pavement distress field rating, Pavement Condition Index (PCI) processing,
multi-year prioritization, Lucity configurations, and custom database integrations.
The RAS team is composed of industry experts that provide Best-in Class pavement
management programs. The RAS team uses previously established roles to ensure
seamless transition of project ownership. Role assignments are as presented below:
• Project Manager: Zac Thomason, MBA, has over 16 years of experience in
pavement management, ASTM D6433 automated data collection, financial
optimization, and complete Lucity integration. Mr. Thomason has managed the
previous pavement condition project for the Town and provided ad-hoc and on-call
services for the Town as it relates to multi-year planning, repair recommendations,
budget optimization, and Town Council Meetings. Mr. Thomason will deliver final
reports and establish channels of communicatio n between the Town’s Staff and
Town of Fountain Hills
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the RAS Team. Mr. Thomason will also provide analysis scenarios and Lucity
training for the Town’s Staff. Lastly, due to his local presence, Mr. Thomason will
attend Town meetings in person and be onsite during the field pilot review with
Senior Pavement Engineer, Scot Gordon.
• Assistant Project Manager: Mark Kramer, PE, MBA, has 24 years of experience
in automated data processing routines, commercial off-the-shelf software, data
management, pavement analysis, and data integration. Mr. Kramer worked with
the Town during the previous pavement condition survey to load the inspection
data to Lucity, configure the operating parameters of the analysis, and run the
Lucity budgetary modeling. Mr. Kramer will provide QA/QC checks of data to
ensure that automated interpretations of distresses match what is visually
represented. As an optional service, Mr. Kramer could also provide onsite Lucity
training if this is not supplied by CentralSquare representatives.
• Project Principal: Bart Williamson has over 30 years of project insurance and
management experience and has worked in the transportation industry for over 16
years. Mr. Williamson will coordinate project needs and resources to ensure high -
quality deliverables are received in a timely manner.
• Senior Pavement Engineer: Scot Gordon, PE, IAM, has over 30 years of
licensed Professional Engineering experience in pavement engineering, design,
and transportation planning. Mr. Gordon will review distress interpretations and
provide expertise in pavement management optimization. Mr. Gordon will perform
a 10-mile field pilot study to make necessary corrections to processing routines
and review quality assurance measures with the Town’s Staff.
• Data Collection Manager: Rafael Rivera has 12 years of experience in
automated pavement and ROW data collection field efforts. Mr. Rivera is
responsible for updating schedules based on collection status, overseeing the daily
operation crew, and initiating/reviewing the evaluation process for pavement and
ROW assets.
• Project Engineer: Sandra Marrero, EI has 8 years of experience evaluating
pavement conditions, processing pavement ratings, preparing reports, and
performing maintenance budget scenarios. Ms. Marrero will assist in the
development of a final report.
Project
Approach
Town of Fountain Hills
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7.2.4 Project Approach
Project Understanding
RAS understands the Town of Fountain Hills is seeking a qualified vendor to conduct a
block-to-block pavement condition assessment on 390 lane miles of roadway. The
pavement condition assessment will be conducted utilizing a Roadway Asset Collection
(RAC) vehicle that is equipped with the most advanced 3D surface imaging technology,
IMU enabled GPS, differential encoder, and a Ladybug 360 degree camera for ROW
capture. RAS will calculate an ASTM D6433 Pavement Condition Index (PCI) score using
the extent and severity distress data captured in the field. While conducting the pavement
condition assessment and listed as an optional service in the RAS fee structure, the RAC
vehicles can also capture ROW attributes for traffic signs, pavement markings, excess
pavement in the gutter pan, and speed humps.
The pavement data will be processed per
street segment for the entire roadway
network using the continuous and detailed
20-foot linear samples acquired by the RAC
Laser Crack Measurement System (LCMS-
2) vehicle. RAS will adopt the Town’s
existing GIS centerlines and Segment ID’s
that were assigned during the last round of
data collection. As conducted on previous
assignments in Fountain Hills, the RAC
vehicle will two pass test arterials and collectors while single pass testing residential
roadways, resulting in approximately 203 survey miles.
The detailed data collected by the RAC vehicle will eventually be rolled up to the segment
level for PCI reporting purposes. The Town will receive the condition and analysis results
in several formats such as Excel Spreadsheets , geodatabases for plotting within a GIS
environment, ESRI Storymap’s, and an RAS Microsoft Power BI Dashboard that displays
the results of the Lucity analysis using presentation quality graphs and illustrations.
Pavement Data Collection Equipment
To complete the automated pavement condition survey, the RAS team will utilize RAC
vehicles from the fleet of four (4), equipped with:
• The LCMS-2 camera is a downward-facing laser array providing images used to
evaluate data that conforms with ASTM D6433 protocols, which uses two 1-
millimeter-pixel resolution line scan cameras to provide a customized digital
condition rating system to collect user defined severity/extent-based
pavement distresses and rutting.
Town of Fountain Hills
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• The pavement distress type, density, severity, and extent are collected with the
LCMS-2 and are used to calculate a Pavement Condition Index (PCI) score,
between 0-100, that represents the condition of 100% of the driven lanes.
• Point Gray Ladybug 5+ 32MP 360-degree High-Definition camera (utilized for
accurate ROW asset capture, extraction, and pavement QA/QC) is far superior
to multiple independently mounted HD cameras.
• Linear distance measuring to within +/-0.5%.
• A class 1 inertial profiler for simultaneously capturing
dual-wheel path (left and right) International Roughness
Index (IRI) measurements to the hundredth inch, in
accordance with AASHTO R48. The profiler has gone
through ASTM E-950 certification and has been
independently certified by Texas A&M Transportation
Institute (TTI) and the National Center for Asphalt
Technology (NCAT). The inertial profiler meets the
requirements and operates in accordance with AASHTO Standards M 328, R 57-
10, R 56-10, and R43M/R43-7.
• Applanix POS/LV with DGPS (Provides accurate internal GPS navigation for
geo-locating pavement and right of way asset information).
All subsystems for the RAC vans are integrated using tight synchronization between all
data streams on the truck in real-time, referenced to both time and distance. All sensor
locations are coordinated to the vehicle’s reference point, togethe r with the GPS
and IMU hardware, using 3D translations and rotations. This allows the final world
coordinates of all sensor data streams to be calculated and integrated. The methods for
automated data collection and pavement condition rating are repeatable and defensible.
Town of Fountain Hills
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RAS is fully capable of meeting the scope requirements as our team owns four (4) RAC
vehicles and retains a strategic partnership with our equipment manufacturer and
assembler that can result in mobilizing as many LCMS-2 vehicles as needed for a
reasonable project completion timeline. RAS’ access to state -of-the-art equipment
ensures project timeline goals are met as the team can supplement additional RAC
vehicles or transfer equipment at a moment’s notice for instances o f equipment
malfunction. Our fleet of RAC vehicles provides the Town an additional line of
security, as the equipment is less than a year old.
Collection and Provision of High-Resolution Panoramic Digital Imagery
The RAS team will utilize RAC vehicles to conduct the pilot and network wide pavement
and asset data collection on the Town’s maintained road network. All collected pavement
and ROW imagery will be provided in appropriate state plane coordinates, while bei ng
collected in a continuous pass at posted roadway speeds. The high-definition panoramic
Ladybug camera will be used to inventory and capture right-of-way (ROW) assets for
extraction of pavement markings, speed humps, traffic signs, and other assets if selected
by the Town. All captured images will be delivered to the Town in .jpeg format and
processed at 15-25ft intervals for the entire survey area. The images will be collected
as a 360-degree right-of-way panorama, including forward, rearward, and
downward pavement viewing images. Each image will be electronically tagged with
location information for plotting within a spatial environment. Traffic control will not be
required since the RAC vehicle will collect all data in motion and is not required to s top or
disrupt traffic during operation. As a value added service, RAS believes that delivery
of ALL Image Views is paramount to Town review and as such all imagery
(including the LCMS downward imagery) will be delivered to the Town of Fountain
Hills at no additional cost.
Sample Imagery of ALL Views Delivered to Town at No Charge
Town of Fountain Hills
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Detailed Quality Assurance & Quality Control Work Plan
While the 10-mile pilot hosted by Scot Gordon and Zac
Thomason will illustrate the completeness and accuracy of the
RAS data stream. RAS has also developed a detailed 30-page
Data Quality Management Plan (DQMP) to provide our clients
with a systemized method for assuring data is representative of
the conditions present. Included in the DQMP is a description of
condition survey procedures, data collection vehicle and system
calibration/verification, range of accuracy, data checks,
verification by trained engineers, roadway segment
review/verification, and integration into asset management
programs.
All RAS projects include the establishment of a field pilot study that allows the collection,
processing, and review of condition data to ensure data is representative of the
expectations and needs of Town staff. Following this step, corrections to processing
routines are made based on standard construction practices/soil conditions. The focus on
data quality at the initiation of the project saves the Town time/money and provides high-
quality deliverables that can be utilized in practice. We can supply the Town of Fountain
Hills with our published 30-page DQMP at the request of Town Staff. The documents length
and technical nature didn’t make it suitable for inclusion with this proposal submission.
Quality Assurance Step #1 – Network Database Review (Gap Analysis)
While a simple routine in every project, the cornerstone to project initiation is conducting
a complete diagnostic of the roadway network, including a full and thorough assessment
of the Town’s GIS centerline and Lucity inventory database. This will include a review of
the Town’s data requirements (i.e., what information is needed/desired) and subsequent
data gap analysis (what is missing).
RAS will include the following in this initial review:
a. Base inventory information, (i.e., Functional Class, lengths, areas, surface type,
etc.)
b. Historical condition information
c. Status of survey history
d. Construction and maintenance history
e. Review & update of maintenance and rehabilitation treatments and unit costs
f. Review & update of existing pavement deterioration curves
g. Review & update of Lucity analysis operating parameters to ensure the Town is
maximizing the latest updates
Town of Fountain Hills
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Quality Assurance Step #2 – Mobilization/Calibration/Pilot/Kickoff
At the outset of the project, RAS will work in conjunction with the Town’s Staff to review
the Town’s existing GIS centerline files and legacy Lucity Street Segment Inventory for
use in this project. After an initial review, RAS will conduct a kickoff meeting with Town
staff to discuss the GIS files, deliverable formats, and additional data needed by RAS for
preparation, process for interim review, and project administration. During the kickoff
meeting, team members will also determine a pilot area of approximately 10 miles
for collection and review of all
deliverables by Town Staff, obtain a
collection letter, and determine areas
that are of greatest priority for collection
or that require special timing for
collection due to festivals such as
Fountain Hills Music Festival, Ballet
Under the Stars, Turkey Trot, or other
events.
The importance of the field pilot cannot be understated
as it has become a routine milestone for the RAS Team
on all pavement condition projects. The pilot allows RAS
to collect, process, and review condition data with Town
Staff to ensure accuracy with the data collection and
interpretation protocols. In addition to the Town’s
eventual review of the 10-mile pilot data, the review of
the RAS condition data will be hosted by Senior Pavement Engineer, Scot Gordon,
PE, IAM, and Project Manager, Zac Thomason, in the field, where they will review
site conditions with Town Staff. The importance of this step is to make necessary
corrections to the processing routines that result from local standard construction
practices/soil conditions and to ensure accuracy with the approach.
As a cornerstone to the development of quality data deliverables, Scot Gordon, PE has
performed a pilot data field validation with agency staff on hundreds of pavement
condition surveys. Throughout his career, Scot has worked with various agencies on the
field pilot data validation including but not limited to:
• San Antonio, TX
• Houston, TX
• Durham, NC
• Virginia Beach, VA
• Chicago MAP, IL
• Indianapolis, IN
• Fort Worth, TX
• Salt Lake City, UT
• Corpus Christi, TX
• Denver, CO
• Albuquerque, NM
• Charlotte, NC
“The pilot data field validation was crucial to our
acceptance and buy-in on our pavement quality
assessment. Mr. Gordon explained each condition, the
methods of measurement of the distresses, and how the
PCI score calculations could help us understand the
meaning and relationship of the values to our perceptions
of pavement performance. This personalized process
allowed us to make maintenance decisions from the data
provided with confidence.” Zayne Huff, City of Southlake
Town of Fountain Hills
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Quality Assurance Step #3 – Subsystem Monitoring In The Field
During the survey, the collection software monitors
the GPS subsystems and alerts the operator if the
GPS feed drops out or if GPS quality is
compromised. It displays the satellite count, which
should normally remain above four (4). If the satellite
count falls below that threshold due to the vehicle
entering a tunnel, driving under a bridge, or driving
in a region with tall buildings, this will be displayed
for the operator. The IMU will provide acceleration-based corrections during this time to
ensure that GPS accuracy is maintained as much as possible. Depending on the grade
of IMU used in the system, even total GPS outages of 1 -3 minutes can be tolerated with
almost no degradation in positional accuracy.
The collection software monitors the status of the subsystems that have been installed
and enabled. A summary screen is displayed for the operator which shows representative
data values and images in real-time, along with any warnings or errors being generated
based on real-time diagnostics. As part of standard practice, the operator continuously
monitors the validity of data being reported by the quality monitoring systems.
The RAS team will also review a randomized sample of images to ensure that it complies
with the requirements of the specifications throughout the course of the network matching
and event QC. Upon completion of the network matching, an image report shall be
generated with the total image count compared with that expected for each road. Daily
Progress Reports are produced by uploading sensor, GPS, and event data and matching
against the road network definition. Progress reports include the following, road sections
collected, length discrepancies, and remaining sections to be completed.
Calibration of the laser profiling system includes laser sensor checks and block tests to
ensure the accuracy of the height sensors, accelerometer calibration “bounce tests” to
verify proper functioning of the height sensors and accelerometers, and distance
calibration to ensure accuracy of the DMI. Calibration of the DMI and some accelerometers
occurs during field testing, and each is checked and recalibrated on a regular basis.
RAS has a proven Quality Assurance/Quality Control procedure for all RAC
projects that begins with our Data Quality Management P lan (DQMP). The systems
and data types collected by the RAC vehicle are:
• Vehicle Travel Distance from Distance Measurement Instrument (DMI)
• Vehicle Position from differentially corrected GPS (DGPS)
• Vehicle Orientation (pitch, heading, roll) from the Ine rtial Measurement Unit (IMU)
• Longitudinal Profile Roughness (IRI)
• Ladybug 5+ 360-degree Images
• Laser Crack Measurement System (LCMS) 2D and 3D Images
Town of Fountain Hills
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Quality Assurance Step #4 – Automated Crack Analysis & Engineer Review
After data is collected in the field and
uploaded to the office environment, it is
imported using the RAS pavement rating tool
Road TRIPTM (Technical Rating
Intelligence Program). The import process
creates mappings to the data so that users do
not need to keep track of where the data is
stored on central data server(s). At this stage,
the major data processing tasks also occur,
such as generation of right-of-way and pavement image streams; calculation of profile,
roughness, rutting, detection of cracks, lane-markings, man-made objects, and other
distresses. The automated crack analysis detects cracks which are overlaid on the
pavement images and offset to assist with the verification of the detected cracks. During
reporting, the distress cracks are defined by road zone and accumulated according to the
units defined in the client specification. The severity levels are identified based upon the
defined limits (ASTM D6433) and verified for resolution through visual quality control
checks of image files. Where density metrics are required, these are determined using
the length of the interval being reported and the width of road zones included.
An experienced pavement inspector will
perform QC to confirm the distresses
and severity of the pavement condition
data collected by the automated
technology. This manual quality review
is performed, in accordance with the
principles of the ASTM D6433 standard,
using the LCMS pavement images
gathered during collection with the
distresses superimposed and color
coded, such as what can be seen in the
corresponding image. The RAS
approach is truly a combination of objective based laser sensors, powerful
algorithms, artificial intelligence (machine learning), and personal review by a
Professional Engineer.
Town of Fountain Hills
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Optional Row Asset Data Collection
The panoramic ROW images from the Ladybug 360 camera
system will be provided as an additional database submitted
in a GIS compatible shapefile and/or geodatabase. These
images will be captured for all selected assets within the
Town’s maintained roadways and will include detailed
attributes and conditions for potential assets such as:
pavement markings, pavement striping, speed humps, traffic
signs, and can be expanded to virtually any other asset that
can be identified in the HD 32MP imagery.
With input from Town staff, the following attributes for
pavement markings will be identified: AssetID, X,Y location,
photo image link, type (left/right/straight arrow, only, xing,
bike, lane, merge left/right arrow, slow, etc.), marking color, and physical condition (good,
fair, poor). Additionally for pavement striping typical attributes also include length, width
and lane configurations.
The HD images can then be post-processed using RAS software to collect attributes for
each asset type captured. For example, Traffic signs/supports, which are listed as a
point feature, are commonly captured with the following attributes (the final list of
attributes will be determined
with input from the Town staff):
AssetID, X,Y location, sign type
(MUTCD code), sign text,
photo image link, physical
condition rating (good, fair,
poor), location, support
structure type, sign direction,
and comments.
The RAS asset extraction
system is not limited to these
assets as we can inventory and
extract attributes on nearly any
asset that can be identified in
the images. Other common
roadside features for capture
include sidewalks, pedestrian
curb ramps, curb/gutter, traffic signals, streetlights, fire hydrants, bus stop shelters,
medians, and many others.
Town of Fountain Hills
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Data Preparation, Delivery, & Import into the Lucity Software
As a strategic business partner of Lucity, the RAS team is commonly tasked with
importing new pavement inspection data into an agency’s production Lucity environment.
The RAS team has a strong working relationship with Jim Muller, CentralSquare Account
Executive, Steve Schultz, CentralSquare Product Manager, and Matt Miner,
CentralSquare Principal Solutions Architect, who are intimately familiar with the Lucity
pavement module and RAS integration routines.
A typical Lucity import happens in two phases as follows:
Phase I: Test Environment – most
agencies operating an enterprise system
such as Lucity have a test environment
specifically set up for vendors to test a
data load prior to moving into production.
During this stage, the RAS team formats
the segment level distress extent and
severity data for import into the Lucity
pavement module software. The data is
loaded as a new inspection such that it
DOES NOT overwrite any legacy data within the software. Old inspections are retained
and simply no longer utilized for budgetary modeling purposes.
Data formats for Lucity users include rolling up the RAS detailed inspection data to match
the Town’s Lucity segmentation and ensuring all data is linked to the appropriate
SegmentID. The distress types are confirmed to be in the correct order and distress
density data (PCI, RI, and optional SI) populated. In addition, the Lucity GIS Manager
will be validated to ensure it retains full synchronization with the implemented Lucity
database. While RAS routinely imports data to Lucity, we find it imperative to begin with
a test environment to fully ensure data integrity.
Phase II: Production Environment – Upon completion of the import to the test
environment, the RAS Team has our Lucity support team review the loaded data to
ensure there are no gaps in the
data structure or format. Upon
acceptance of Lucity, the RAS
team moves the database into
the Town’s production
environment, generally in off-
hours to ensure minimal
downtime for Town Staff and
Services. RAS has the team,
resources, and expertise to
conduct a seamless production load to Lucity.
Town of Fountain Hills
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RAS Lucity Configuration Workflow
While running the models themselves might seem straight-forward, the RAS approach to
such an analysis involves the following sequences and client engagements during the
process:
• Current database review – most issues can be resolved at the initiation of a
project by completing a brief review of the Town’s existing GIS centerlines and
Lucity inventory setup. All RAS projects begin with a review by our Project
Manager, Zac Thomason. Given Mr. Thomason’s familiarity with the Town’s
legacy inventory and Lucity analysis parameter setup, he will discuss the current
inventory and configuration adoption with Town staff. Any recommended changes
to the segmentation or budgetary model configuration will be discussed at this
stage.
• Maintenance & Rehabilitation Setup – to ensure the results of the budget model
runs meet the Town’s expectations, Mr. Thomason and Mr. Kramer will discuss
the Town’s current Maintenance and Rehabilitation practices to ensure the Lucity
system is setup to mimic/model real world practices. This includes reviewing
Min/Max PCI, Breakpoint PCI, decision trees for treatments, costs, and reset PCI
values. As a Professional Engineer with extensive pavement experience, Mr.
Kramer is well versed with the application of pavement rehabilitation techniques,
trigger points, real-world impact to PCI, and life cycles. As a part of this process,
RAS will work with the Town to
determine the right treatment
(prescription) at the right time.
RAS can also discuss other
treatments that the Town may or may
not be using, their benefits, their
return on investment, and their
adoption across the Country. The
results of the scenarios would include
investment benefit information
indicating the cost per square foot of
benefit for each maintenance strategy
based on maintenance rehabilitation
costs. This can be reported in a number of ways, but most commonly as the cost
per square foot to increase the PCI by increments of 1 point.
• Deterioration Curves – forecasting pavement conditions within Lucity requires a
detailed set of pavement deterioration curves for each roadway traffic
classification, pavement material type, and strength designation. Mr. Gordon,
Senior Pavement Engineer, will review the existing deterioration curves to ensure
they reflect realistic degradation rates in the Town. If alterations to the curves are
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necessary, Scot will lead the update with the team prior to the production data load
into Lucity. Scot Gordon and the RAS team have developed hundreds of
deterioration curves based on collected data. Scot will work with the historical
data from Fountain Hills, along with the collected data from this project, to develop
updated and further refined de terioration curves for each combination of street
classification and pavement surface type, representative of the Arizona climate.
RAS has protocols in place
that preserves historical
collection data and utilizes
past surveys to assist in
modeling through
documenting the change in
conditions between past
surveys and the current
collected data. RAS can make
the comparisons between the
surveys easily viewable for
Town staff to determine if outliers exist. An example of data integration between
collection cycles comes from Scot and the RAS Team’s work with the City of San
Antonio, Texas. Scot provided the City a method to determine the age of e ach
pavement section and refine the deterioration curves by evaluating the decrease
in PCI per year from historical pavement evaluation data. The delta decrease, or
difference in PCI value per year, along with the range of PCI value of the roadway
provided guides to shape the deterioration curve at each age.
• Supersegment Development – the Lucity pavement module runs budgetary
models using a “Supersegment” layer within the application, which is simply
individual segments stitched together to form a logical project or management
section. The benefit of this Supersegment feature within Lucity is that it runs the
budgetary scenario at the project level, producing real-world rehabilitation plans
that are ready for Town review, modification, or acceptance. The RAS team will
also provide recommendations to Town staff for best practices in developing
practically sized Supersegments to
yield model results that can be acted
upon. Typical constraints used when
building Supersegments includes
relative condition, classification, and
an upset limit to prevent projects from
becoming too large. A Microsoft
Access database of the final
configuration, setup, and models will
be provided to the Town.
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Infusing Optimization into the Lucity Analysis
Optimization is a broad-based term that has many different definitions. For most
pavement management systems, optimization is the ability to prioritize a multi -year
rehabilitation plan using several different factors that are important to the Town and based
on sound engineering constraints. For example, RAS commonly configures the Lucity
pavement management system to assign a different set of maintenance and rehabilitation
activities for roadways of different pavement type, traffic, and strength.
With the rehabilitation and maintenance activities set up, an RAS and Lucity analysis
assigns “Criticality” factors to every segment that assist in prioritizing the multi-year plan
and the development of a financially optimized rehabilitation plan. Critical segments are
simply those that are within 2-4 points of falling into the next rehabilitation category.
However, this is only the beginning of an RAS and Lucity Optimized Multi-Year
Plan.
The RAS team also includes a true Financial Optimization Framework (FOF) as a part
of the Lucity analysis. With the critical segments all defined within the analysis, the next
step is to sequence the optimization plan by the “Cost of Deferral”. This financial
optimization sequence allows the
analysis to consider the future costs
of deferring segments and allowing
them to fall into the next more
expensive rehab category. By
calculating the cost of deferral, the
sequence identifies the “Need Year”
of each segment and prioritizes the
highest cost of deferrals while
focusing on selecting critical roads
that are within a few points of dropping into the next category.
Zac Thomason, Project Manager, and Mark Kramer, Assistant Project Manager, are
well versed in the optimization logic within Lucity and actively work with the
CentralSquare development team to ensure peak performance in configuration.
To further enhance upon optimization, Senior Pavement Engineer, Scot Gordon looks
forward to visiting with Town staff on other innovative considerations to pavement
management such as including PCI of curb and gutter in selecting roads for
maintenance; whether or not to deduct for potholes if the Town has a pothole repair
crew; how to get all council districts above a specific PCI threshold; and focused
analysis on top traveled corridors where you are improving the level of service on
the roads receiving the greatest traffic while also analyzing the impacts to the
remainder of the network.
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Lucity Budget Model Development & Final Report Summary
The RAS Team separates itself from our competition through our devotion to the most
critical aspect of the project, which is collaborating with the Town on how to take the
objective condition data and utilize it to make meaningful decisions involving the Town’s
infrastructure. In addition, RAS can supplement a standard analysis with ESRI
Storymap’s or even a Microsoft Power BI Dashbaord.
RAS follows the “AASHTO Transportation Asset Management Guide – A Focus on
Implementation” which provides a framework for organizations to utilize and update the
management of their assets to improve decision-making, monitor performance, and
support integrated decisions in programming projects. The observed distresses and
calculated PCI values will be used within Lucity to rank projects using distress types
indicating load, non-load, and environmental related causes of each distress.
Running budgetary models within a pavement management system requires a deep
understanding of the database structure behind the application. The RAS approach to
budgetary modeling will involve up to 8 pavement management scenarios using different
philosophies, budget levels, and distributions. While RAS will define the scenarios to
be run with Town staff, at a minimum the following questions should be answered
with the scenarios:
• How much annual funding is required to maintain existing pavement conditions?
• What will the estimated network PCI be over the next 5 years if current funding
levels are maintained?
• How much funding will be required to target a specific PCI over the next 5 years?
• What will the estimated PCI be in each Council District?
• What budget is required to control the growth in backlog?
• What are the recommended pavement strategies?
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RAS will also consult with Town staff to develop models utilizing different types of
rehabilitation strategies (worst first, best first, most economic, need year, etc.). RAS
understands that getting buy-in from Town Administrators and Elected Officials means
developing a long-range rehabilitation plan that considers local priorities. The RAS team
will ensure that already approved rehabilitation work is programmed into the budgetary
models for selection during the run. In addition, RAS will consult with Town staff to identity
the total cost (mill, overlay, traffic control, striping, etc.) of each rehabilitation method.
RAS will provide the Town with a final report/executive summary including study
objectives, methodology, road inventory, a summary of current pavement conditions , PCI
values, recommended maintenance needs, street prioritization lists, and probable costs.
In addition, the Town will receive an electronic database consisting of statistical charts,
graphs, summary tables, and area maps illustrating all PCI results, pavement type, overall
road quality, and findings from the pavement evaluation.
The summary report will be provided for review by Town staff and modified based on
comments to produce a final report which will be delivered as a bound report and in
Microsoft Word (.doc and .docx) and Adobe (.pdf) format. Collected data will be formatted
as an ESRI Geodatabase. Additionally, the pavement co ndition survey data will be
imported into Lucity for use in budget analysis, and repair planning and prioritization.
Council Presentations
The RAS team will provide a public presentation to the Town Council, including data,
charts, and all final summary report data to showcase the results of the pavement
condition survey. Mr. Thomason has extensive experience preparing and presenting
results of pavement and asset conditions assessments, as well as p avement budget
scenarios and maintenance plans to Councils and Commissions as final reports. This is
a standard scope that we provide to all our asset management clients. Zac has worked
with County Commissions or Town Councils with several agencies including Fountain
Hills, AZ; Prescott, AZ; Pasadena, CA; Long Beach, CA; Flower Mound, TX; Steamboat
Springs, CO; and Minnehaha County, SD to name a few.
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Approach to Contract Management
RAS utilizes the Project Management Body of
Knowledge (7th edition) to define and adhere to the
principles of planning. This guide provides a
breakdown of general management including
methods for planning, organizing, staffing,
executing, and controlling the operations of an
organization. RAS emulates organizational
strategies established by the guide to develop clear
lines of communication for the successful
completion of the Town’s goals.
Perspective on Partnering and Customer Service
RAS’ philosophy on project ownership is simple and centered on the developme nt of a
collaborative partnership with the Town’s Staff. While any vendor can collect some form
of condition data and move on to the next project within a few weeks, RAS prides itself
on collaboration with our clients to develop
best in class pavement management programs
that result in a long-term relationship between
RAS and the Town. Our relentless dedication to
client satisfaction has resulted in repeat projects
from municipalities.
By conducting a collaborative field pilot validation
study (further described on page 15 of this proposal
submission), RAS is acquainted with the Town’s
goals for the collection project. The transparency of
goals enables RAS to provide data and pavement
management system integration that works for the
Town’s needs.
Scheduling and Staffing
RAS retains two Professional Engineers with over 50 years of combined experience. In
addition, RAS’ Project Manager and Principal have been leading ASTM D6433 pavement
condition projects for a combined 30 years. RAS has four Pavement Data Collection teams
and will designate a minimum of one RAC vehicle (2 team members) for project completion
within the allotted schedule. The Pavement Data Collection team will collect condition data
seven days a week to account for natural delays caused by weather. Collection protocols
ensure that the schedule will remain on time and within budget.
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Alternate Approach: RAS Data Viewer & Videologer
If the Town desires web-hosted condition photos, as an alternative additive service, RAS
can provide the Town with the RAS Video Logger which is a web hosted full-service image
viewer that allows our clients to select a section of roadway from the GIS -based map to
visually display the inventory elements and the results of their survey. The viewer is
hosted on a reliable web platform such as Amazon Web Services (AWS). The RAS Video
Logger allows the Town to load pavement and ROW imagery for a specific location within
the Town and sequentially travel down the roadway. If needed within the video logger,
the Town can load high-resolution images to provide more detailed site investigation while
displaying PCI, IRI, and Rut index data for the selected section. I n addition, the Video
Logger houses the Ladybug Panoramic ROW imagery, LCMS downward pavement
imagery, PCI scores, and right of way inventories.
Following the Pavement Condition Assessment, all LCMS-2 camera imagery will be
loaded to the videologger with each image resulting in 1 mm -pixel resolution and
horizontal resolution of 4,000 pixels. The benefit of having the LCMS imagery on the
same platform as the Ladybug imagery is the ability to use the forward facing
camera to see what a typical driver would see from a windshield while comparing
it against the downward LCMS laser array that focuses only on the pavement
surface itself.
The imagery captured from the LCMS-2 camera will display various pavement distresses
for asphalt concrete including cracking (alligator, block, edge, longitudinal, transverse,
joint reflection), patching and potholes (patching and utility cut patching, potholes),
surface deformation (rutting, shoving, depressions, bumps and signs, corrugation ),
surface defects (bleeding, raveling, weathering), and miscellaneous distresses (railroad
crossing).
Project
Schedule
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Milestones and Deliverable Schedule
One way RAS optimizes its field data capture is by collecting pavement condition data 7
days a week, which allows our team to remain ahead of schedule when events such as
storms or other weather-related events do occur. RAS anticipates utilizing one RAC
vehicle as the field survey will take approximately 1 to 2 weeks depending on weather.
RAS will prepare and monitor the locations of large-scale events and festivals like
Fountain Hills Music Festival, Ballet Under the Stars, Turkey Trot, or other events to avoid
high congestion periods and closed roads. The RAS management team has an
outstanding record of completing projects similar in size and scale on time and
within budget.
The schedule presented below has been developed around a strategic objective of
completing the roadway data collection effort, field pilot review, PCI processing, Lucity
load, Lucity configuration, budgetary modeling, and final report within a five and a half
month timeline to accelerate the Town’s desired schedule. Should the Town add
additional right of way asset inventories to the scope of work, the inventory would
be developed concurrently with the pavement condition data and within the
existing schedule.
Anticipated Project Milestone:
Notice-to-Proceed………………………10/10/2022
Kick-Off Meeting………………………..10/17/2022 – 10/21/2022
Phase I Report………………………….02/27/2023– 03/10/2023
Phase I Council Presentation…………03/27/2023 – 03/31/2023
Phase II Lucity Implementation……….02/27/2023 – 03/10/2023
Project Completion……………………..03/31/2023
The anticipated project milestones are dependent upon receipt of the notice to proceed
and Town purchase of the Lucity software for completion of Phase II. RAS can still
maintain the Phase I report schedule if the purchase and install of the Lucity software is
delayed. We can maintain this schedule as RAS retains Lucity licenses for in-house
analysis purposes.
Task Days
PROJECT INITIATION
Project Initiation, Kick-Off, & Centerline Identification 12
Field Mapping Development, Segmentation Review, & Routing Setup 51
Pavement Width Verificaiton & Measurement 39
Roadway Asset Collection (RAC) Vehicle Mobilization/Calibration 3
RAC Pilot Survey Area - 10+ Miles 3
RAC Pavement Distress & Imagery Collection 14
DATA MANAGEMENT
Pavement Evaluation, AI Processing, & QC 36
Pilot Data Review with Town Staff 1
HD Digital Image Processing & Delivery 42
RAS & City Review of Final Data (Prior to Lucity Load)24
Lucity Distress Data Import & Load 30
Lucity Analysis Configuration, Review Budgetary Modeling, & Multi-Year Plan 30
Final Report & Condition Summary 30
Professional Services/GIS Database Work
Field Work
Extraction/Evaluation Work
QA/QC Work
Final Deliverable
651234
Months
Pricing
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Pricing Proposal
RAS team members have managed/provided field data collection, performed QA/QC, and
developed pavement management plans on numerous similar pro jects to the scope of
services requested by the Town. RAS is a financially secure limited liability company that
practices strong internal controls, conservative business practices, and a commitment to
continued financial growth. RAS is registered to do business in Arizona by the Arizona
Corporation Commission (#23412705).
The RAS fee structure for this assignment can be found below with itemized tasks to
illustrate the full scope of this project. The RAC vehicle will survey the arterial and
collector roadways in two directions while single pass testing the residential road ways to
maintain the inspection sample philosophy adopted on legacy surveys. The resulting
survey mileage is approximately 203 survey miles.
Appendix
Zac Thomason, MBA
PROJECT MANAGER, SENIOR VICE PRESIDENT
Mr. Thomason brings over 16 years of dedicated pavement and
asset management experience where his focus has been on the
use of semi-automated and automated technologies for
pavement distress surveys, enterprise software implementation,
pavement preservation, budget modeling & forecasting, and
multi-year rehabilitation plan development. In addition to
pavements, Mr. Thomason has vast experience with Right of
Way asset inventory development that ranges from roadside
features such as signs & supports, sidewalks, pedestrian curb
ramps, striping & markings, curb & gutter, guardrail, bike racks,
and nearly any asset that can be seen in the right of way. He has
also managed complex sidewalk and pedestrian curb ramp
inventory assignments that have included off road vehicle data
collection, advanced LiDAR surveys to acquire geometric
measurements (ramp, landing, & flare), long-range project
prioritization sequencing, and project planning.
Municipal Leadership Experience in Arizona & the
Southwest: Fountain Hills, Yuma, Casa Grande, Marana, Pinal County, Glendale,
Goodyear, Scottsdale, Gilbert, Prescott, Coconino County, & Bullhead City, AZ;
Albuquerque, Roswell, Las Cruces, Los Alamos County, & Dona Ana County, NM; Long
Beach, Pasadena, Fontana, Orange County, Imperial County, Carlsbad, La Mesa,
Lancaster, San Luis Obispo, Coachella Valley Association of Governments (CVAG), &
Modesto, CA.
*projects in red represent Lucity users
LUCITY PROJECT LEADERSHIP ROLES IN ARIZONA
Town of Fountain Hills, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for a networkwide pavement data collection
and analysis update for the Town of Fountain Hills. Semi-automated data collection
equipment was utilized to survey over 160 centerline miles of Town maintained arterial,
collector, and residential roadways, resulting in over 200 survey miles. All data was
collected in conformance with the ASTM D6433 protocols and the extent/severity data
was summarized as a 0-10 index for import into the Lucity pavement management
software. While the Lucity software was not installed on Town servers, the license was
hosted by the consultant and the Lucity analysis parameters were configured to match
the Town’s existing business practices. Maintenance and rehabilitation activities were
updated for the pre-incorporation and post-incorporation roadways, deterioration curves
were updated, and budget models were run within Lucity to develop a 10 -year condition
and budget forecast. The results of the analysis were bound into a final report a nd
presented to Town Council in multiple formats to assist in budget discussions , level of
service identification, and long range transportation planning.
FIRM
Roadway Asset Services
EXPERIENCE
16 years
EDUCATION
M.B.A., Business
Administration,
University of
Phoenix, 2007
B.S., Global Business,
Arizona State
University, 2005
LOCATION
Chandler, Arizona
Zac Thomason, MBA- Project Manager
City of Prescott, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for a networkwide pavement data collection
and analysis update for the City of Prescott. Semi-automated data collection equipment
was utilized to survey over 293 centerline miles of City maintained arterial, collector, and
residential roadways, resulting in over 360 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationship between the network
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” with the pavement
management models. Supersegments were developed based upon relative condition,
pavement type, and a maximum upset limit. Supersegments were then linked to form a
cohesive neighborhood based approach. The results of the analysis were presented to
City Council such that they understood the current condition of the network, challenges
to be overcome, and the impact of the current budget on the road network.
Pinal County, Arizona – Pavement Condition Survey, ROW Assets, & Analysis
Mr. Thomason has served as the Assistant Project Manager and Project Manager for
multiple networkwide pavement data collection and analysis updates for Pinal County.
Semi-automated data collection equipment was utilized to survey over 1,386 centerline
miles of County maintained arterial, collector, and residential roadways, resulting in over
1,700 survey miles. All data was collected in conformance with the ASTM D6433
protocols and the extent/severity data was summarized as a 0-10 index for import into the
Lucity pavement management software. During the last data collection project, the
Lucity operating parameters were fully updated to ensure the County was taking
advantage of the recent updates within the Lucity software. Budgetary models were run
within the system to identify the steady state PCI and backlog requirements. Right of way
asset inventories were also captured as a part of the project, loaded to the appropriate
Lucity module, and delivered as a Personal Geodatabase with representative symbology.
City of Paradise Valley, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for multiple networkwide pavement data
collection and analysis updates for the City of Paradise Valley. Semi-automated data
collection equipment was utilized to assess over 190 survey miles. All data was collected
in conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationsh ip between the network
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” on a Maintenance District
by Maintenance District basis within the models. Supersegments were developed based
upon relative condition, pavement type, and a maximum upset limit. The results of the
analysis were presented to City Council such that they understood the current condition
of the network, challenges to be overcome, and the impact of t he current budget on the
road network.
BART WILLIAMSON, FCLS
PROJECT PRINCIPAL
Mr. Williamson brings over 30 years of management
experience in a wide variety of projects and programs that
include public works, insurance, and transportation on a
national level. He has developed an in-depth understanding
of business processes and politics that are germane to
governments. Mr. Williamson has assisted with asset
management needs assessments, management of pavement
condition survey, and ROW collection projects.
KEY PROJECTS
Arizona Department of Transportation- Geospatial Roadway Data Collection
Mr. Williamson is serving as Project Principal for the Arizona Department of
Transportation’s pavement condition survey of 5,000 test miles. Automated data
collection vehicles are utilized to provide pavement data and imagery in accordance with
the HPMS guidelines for statewide data collection. Mr. Williamson coordinates project
needs and establishes channels of communication that works with the Department staff.
Arizona Department of Transportation-City of Maricopa- Road Sign Data Collection
Mr. Williamson was the Project Principal for conducting a road sign inventory and an
FHWA approved visual nighttime retroreflectivity inspection of all road signs located within
the LPA jurisdictional boundaries. Data collection occurred on the City’s 446 miles of
roadways using automated data collection vehicles. The traffic sign inventory data was
imported into VUEWorks to track the sign inventory and prioritize asset replacement.
City of Grand Junction, Colorado – Street Assessment Project
Mr. Williamson is serving as the Project Principal for the City’s pavement condition survey
of 500 test miles. Roadway Asset Collection (RAC) vehicles were utilized to capture
pavement distress imagery for the calculation of PCI values. Following data collection
and PCI calculation, RAS will deliver a final Lucity import database file. In addition, RAS
is working with the City to set constraints within Lucity for performing internal budget
scenarios.
City of Albuquerque, New Mexico – Pavement Condition Survey
Mr. Williamson served as the Project Principal for the City’s Pavement Condition
Assessment of 4,548 lane miles. RAC vehicles were utilized, in accordance with the
ASTM D6433, to provide the City with a PCI value for each street segment and the overall
network. The project also included an extensive ROW asset inventory that included: traffic
signs, pavement markings, pavement striping, sidewalks, ADA ramps, driveways, bike
lanes, curb and gutter, guardrail, streetscapes, traffic calming devices, polygon mapping,
control boxes, backflows, and electrical/water meters. Mr. Williamson was responsible for
maintaining communication among the RAS team and the City staff. In addition, Mr.
Williamson coordinated project needs and met with the City to understand project goals.
FIRM
Roadway Asset Services
EXPERIENCE
30 years
EDUCATION
B.S., Business
Marketing Honors and
Distinction Indiana
University, 1989
Bart Williamson, FCLS – Project Principal
City of Salt Lake City, Utah – Pavement Condition Assessment
Mr. Williamson was the Project Principal for Salt Lake City’s pavement condition
assessment of 592 centerline miles of roadways. The project also included GIS based
mapping, geodatabase design, import into Cartegraph OMS, and long term pavement
preservation plans utilizing historic and current analysis. RAS performed budget analysis
and maintenance optimization scenarios for the City’s pavement network.
City of Austin, Texas– Pavement Data Collection (2022) and Traffic Sign Data
Collection (2021)
Mr. Williamson served as the Project Principal for the City of Austin’s 2021 Traffic Sign
Data Collection. The network (33,638 street segments and 5,000 test miles) was collected
utilizing mobile LiDAR imaging to provide the City with data and imagery on sign faces,
sign structures, sign location, and sign assets. Mr. Williamson is currently serving as the
Project Principal for the City’s 2022 Pavement Data Collection. This project consists of
providing distress data for the City’s 5,000 test mile road network. Following collection,
RAS will provide the City with a Video Logger for staff to visually display the inventory
elements and results of the survey.
City of Denver, Colorado – Pavement Condition Assessment
Mr. Williamson is serving as the Project Principal for the City’s 5,756 miles of roadways.
The project analyzed various City assets including protective barriers, pavement
markings, signal support structures, MUTCD specialty signs, sign support, sidewalks, and
sidewalk obstructions. Following collection, PCI and IRI data are being implemented into
the City’s GIS.
City of San Antonio, Texas – Pavement Condition Index Modeling Update
Mr. Williamson served as the Client Services Manager for the City’s analysis on PCI rate
deterioration between pavement evaluation results inputted into Cartegraph in 2019 and
2022. The project consisted of providing deterioration models, recommending
improvements for overall maintenance, and calculating average PCI per year per District.
RAS developed a multitude of budget scenarios within Cartegraph based on the cost of
treatment and predicted improvements to corresponding road sections.
City of Corpus Christi, Texas - Pavement Data Collection and Integration
Mr. Williamson served as the Project Principal for the City’s pavement condition data and
ROW asset inventory for the 2,448 miles of roadways. RAC vehicles were utilized to
assess pavement distress, curb and gutter, pavement markings and striping, traffic signs,
sidewalks, and ADA ramps. Following collection, PCI values were integrated into
Cartegraph.
City of Rancho Palos Verdes, California – Roadway Asset Management Program
Mr. Williamson served as the Project Principal for the City of Rancho Palos Verdes’ mobile
data collection project for its 150 centerline mile network. The project consisted of utilizing
RAC vehicles to provide a ROW asset inventory. The ROW Asset inventory included the
following assets: curb and gutter, curb ramps, concrete medians, and guardrails.
Mark Kramer, PE, MBA
ASSISTANT PROJECT MANAGER, CHIEF DATA OFFICER
Mr. Kramer serves as the Chief Data Officer at Roadway Asset
Services. Mr. Kramer has 24 years of experience in engineering and
information technology projects including pavement condition, sign
inventory, and sidewalk condition surveys. He is an expert in
commercial off the shelf software, data management, data analysis,
and delivery of technology projects.
Mr. Kramer’s expertise also extends to 3 rd party pavement
management system implementations as he previously worked for
Lucity as a software implementer and spent over 10 years serving
the Town of Gilbert as their Director of IT. As a part of those
responsibilities, Mr. Kramer and his team managed the Town’s
enterprise Lucity license and GIS synchronization.
PAVEMENT AND ASSET PROJECT EXPERIENCE
Town of Fountain Hills, AZ – Pavement Condition Survey
Mr. Kramer served as the Engineering Manager for a networkwide
pavement data collection and analysis update for the Town of
Fountain Hills. Semi-automated data collection equipment was
utilized to survey over 160 centerline miles of Town maintained
arterial, collector, and residential roadways, resulting in over 200
survey miles. All data was collected in conformance with the ASTM
D6433 protocols and the extent/severity data was summarized as a
0-10 index for import into the Lucity pavement management
software. While the Lucity software was not installed on Town
servers, the license was hosted by the consultant and the Lucity
analysis parameters were configured to match the Town’s existing business practices.
Maintenance and rehabilitation activities were updated for the pre -incorporation and post-
incorporation roadways, deterioration curves were updated, and budget models were run
within Lucity to develop a 10-year condition and budget forecast. The results of the
analysis were bound into a final report and presented to Town Council in mu ltiple formats
to assist in budget discussions, level of service identification, and long range
transportation planning.
City of Prescott, Arizona – Pavement Condition Survey & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide paveme nt data
collection and analysis update for the City of Prescott. Semi-automated data collection
equipment was utilized to assess over 360 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationship between the network
FIRM
Roadway Asset Services
EXPERIENCE
24 years
EDUCATION
MBA-IT Western
International,2003
B.S., Civil Engineering,
Arizona State University,
1998
LOCATION
Mesa, Arizona
REGISTRATIONS
-AZ Professional
Engineer, Certificate
Number: 40225
Professional Certifications
Microsoft SQL Server
Microsoft Power BI
Mark Kramer, PE, MBA-IT – Assistant Project Manager
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” with the pavement
management models. Supersegments were developed based upon relative condition,
pavement type, and a maximum upset limit. Supersegments were then linked to form a
cohesive neighborhood based approach. The results of the analysis were presented to
City Council such that they understood the current condition of the network, challenges
to be overcome, and the impact of the current budget on the road network.
Pinal County, Arizona – Pavement Condition Survey, ROW Assets, & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide pavement data
collection and analysis updates for Pinal County. Semi-automated data collection
equipment was utilized to assess over 1,700 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. During the last data collection project, the Lucity operating parameters were
fully updated to ensure the County was taking advantage of the recent updates within the
Lucity software. Budgetary models were run within the system to identify the steady state
PCI and backlog requirements. Right of way asset inventories were also captured as a
part of the project, loaded to the appropriate Lucity module, and delivered as a Personal
Geodatabase with representative symbology.
City of Paradise Valley, Arizona – Pavement Condition Survey & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide paveme nt data
collection and analysis updates for the City of Paradise Valley. Semi -automated data
collection equipment was utilized to survey over 148 centerline miles of City maintained
arterial, collector, and residential roadways, resulting in approximately 190 survey miles.
All data was collected in conformance with the ASTM D6433 protocols and the
extent/severity data was summarized as a 0-10 index for import into the Lucity pavement
management software. The Lucity operating parameters were updated as a part of the
analysis and multiple budgetary models were run to establish the relationship between
the network level PCI and annual funding. In addition, the Supersegments within Lucity
were developed and linked to form a true “Neighborhood Approach” on a Maintenance
District by Maintenance District basis within the models. Supersegments were developed
based upon relative condition, pavement type, and a maximum upset limit. The results
of the analysis were presented to City Council such that they understo od the current
condition of the network, challenges to be overcome, and the impact of the current budget .
City of Yuma, Arizona – Pavement Condition Survey and Analysis
Mr. Kramer served as the Engineering Manager for this assignment to conduct a semi -
automated data collection effort of over 400 centerline miles of roadways. The City
migrated from the Cartegraph software to Lucity and conducted it’s first full linear
automated approach during this project. The condition data was processed into a
modified ASTM D6433 PCI score and loaded to a Lucity test environment. The City’s
robust preservation program was programmed into the Lucity model to assist in extending
roadway design life and maximizing the City’s limited funds. The results were aggregated
to the network level such that the results of the network as a whole could be documented.
G. SCOT GORDON, PE, IAM
SENIOR PAVEMENT ENGINEER
Mr. Gordon serves as President and Lead Pavement Engineer at
Roadway Asset Services. Mr. Gordon has 30 years of experience in
transportation engineering, geotechnical engineering, and
construction materials testing for transportation networks. As a
professional engineer, he has managed numerous projects such as
design/build highway projects, airfield pavement, and other
government projects. He is an expert in the design, evaluation,
monitoring, and research of pavement as well as pavement
rehabilitation and soil stabilization. Scot has completed numerous
projects related to pavement management system implementation,
pavement condition surveys, sign management surveys, and
sidewalk condition surveys. The following is a brief list of projects he
has managed.
KEY PROJECTS
City of Grand Junction, Colorado – Street Assessment Project
Mr. Gordon is serving as the Project Manager/Pavement Engineer
for the City’s pavement condition survey for 500 test miles of paved
roads. RAC vehicles are utilized to collect imagery for arterial,
collector, striped local roads, and residential roadways in accordance
with the ASTM D6433 methodology. PCI data is conducted on each
street segment which is typically blocked and tagged with a Facility -
ID on the feature class layer in GIS. Following PCI and IRI survey
results, data will be integrated into Lucity. Mr. Gordon will work with
City staff to develop budgetary scenarios that reflect treatment goals.
Arizona DOT- Geospatial Roadway Data Collection
Mr. Gordon is serving as Senior Pavement Engineer for the Arizona
Department of Transportation’s pavement condition survey of 5,000
test miles. Automated data collection vehicles are utilized to provide
pavement data and imagery in accordance with the HPMS guidelines
for the Statewide data collection.
City of Durham, North Carolina-Pavement Condition Survey
Mr. Gordon served as the Senior Pavement Engineer for the
automated pavement condition survey of the City’s 700 mile
pavement network. The project included data collection per the
ASTM D6433, pavement condition rating/assessment, budget
analysis, and maintenance repair recommendations and reports. Mr.
Gordon worked with the City on the interpretation of PCI results and
presented the findings to the City Council for budget planning.
FIRM
Roadway Asset Services
EXPERIENCE
30 years
EDUCATION
M.E., Civil Engineering,
Texas A&M University,
1990
B.S., Civil Engineering,
Texas A&M University,
1989
REGISTRATIONS
-TX Professional
Engineer, Certificate
Number:88099
-CO Professional
Engineer, Certificate
Number:30239
-MD Professional
Engineer, Certificate
Number:33493
-FL Professional
Engineer, Certificate
Number:83979
-NC Professional
Engineer, Certificate
Number:46459
-NM Professional
Engineer, Certificate
Number:26330
-GA Professional
Engineer, Certificate
Number:45916
-Institute of Asset
Management Certified
G. Scot Gordon, PE, IAM – Senior Pavement Engineer
City of Salt Lake City, Utah – Pavement Condition Assessment
Mr. Gordon was the Project Manager/Senior Pavement Engineer for Salt Lake City’s
pavement condition survey on approximately 592 centerline miles of roadways. The
project included the calculation of PCI values, GIS based mapping, geodatabase design,
Cartegraph importation, and long term pavement preservation plans that examine historic
and current analysis. Mr. Gordon worked with the City the develop a multitude of
budgetary scenarios based on maintenance strategies and recommendations.
City of New Braunfels, Texas – Pavement Data Collection and ROW Inventory
Mr. Gordon served as the Senior Pavement Engineer for the City’s pavement condition
data collection of 469 test miles of roadways. Pavement data was collected utilizing an
RAC vehicle that captures images for all pavement and ROW assets. Following collection,
PCI survey results were analyzed utilizing RAS’ Road TRIP (Technical Rating Intelligence
Program) to identify distresses including alligator cracking, longitudinal cracking, raveling,
and patching. Mr. Gordon conducted a field pilot validation study at project initiation to
preliminarily review condition data before collecting the entire network. In add ition, Mr.
Gordon assisted the City in the interpretation of PCI values and repair recommendations.
Denver, Colorado - Pavement Condition Survey
Mr. Gordon is serving as the Senior Pavement Engineer for the City’s 5,756 miles of
roadways. The project analyzed various City assets including protective barriers,
pavement markings, signal support structures, MUTCD specialty signs, sign support,
sidewalks, and sidewalk obstructions. Following collection, PCI and IRI data are being
implemented into the City’s GIS. Mr. Gordon hosts monthly meetings with City Staff and
RAS Team Members to update project resources, discuss current goals, and maintain
communication throughout project fulfillment.
Albuquerque, New Mexico - Pavement Condition Survey and ROW Asset Inventory
Mr. Gordon served as the Senior Pavement Engineer for the City’s pavement condition
survey for its 4,548 lane mile network of roadways and alleys. RAC Vehicles collected
imagery for the following ROW assets: traffic signs, pavement markings, pavement
striping, sidewalks, ADA ramps, bike lanes, curb and gutter, guardrail, streetscapes,
traffic calming devices, polygon mapping, control boxes, backflows, and electrical/water
meters. Asset extraction was integrated into the City’s VUEWorks asset management
system.
Mesa County, Colorado - Pavement Data Collection
Mr. Gordon served as the Senior Pavement Engineer for the County’s pavement condition
survey of 698 centerline miles of paved roads. Mr. Gordon was responsible for assuring
data collection by the RAC vehicles developed unique identifiers for each road segment
so the County can maintain a persistent link to GIS data. Mr. Gordon selected pavement
treatments based on PCI ratings and identified distress types. Survey results were
incorporated into the County’s pavement management system, Cartegraph.
RAFAEL RIVERA
DATA COLLECTION MANAGER
Mr. Rivera has over 12 years of experience in automated data
collection of pavement and ROW asset inventories. Mr. Rivera
has been involved with collection and management of over
100,000 miles of roadways. Mr. Rivera’s positions have included
automated data collection vehicle operator, pavement a nalyst,
LiDAR analyst, and GIS analyst.
KEY PROJECTS
City of Salt Lake City, Utah– Pavement Condition Assessment
Mr. Rivera was the Data Collection Manager for the City’s
automated pavement surface inventory and distress survey on
approximately 592 centerline miles. Final deliverables consisted
of PCI values, GIS based mapping, geodatabase design, import
into Cartegraph, data and budget analysis, maintenance
optimization, and pavement preservation plans with an
examination of historic and current analysis. Mr. Rivera provided
route tracking for field operation crew and ensured 100% of the
network was collected.
Arizona Department of Transportation- City of Buckeye- Sign Data Collection
Mr. Rivera was the Data Collection Manager for the collection of a road sign inventory
and visual nighttime retroreflectivity inspection of all road signs located within the LPA
jurisdictional boundaries. The daytime inventory and condition assessment of the City’s
1,850 test miles of roadway was collected via automated data collection vehicles. The
retroreflectivity assessment was conducted using an FHWA approved nighttime visual
assessment methodology.
City of Denver, Colorado – Pavement Condition Assessment
Mr. Rivera is serving as the Data Collection Manager for the automated data collection
project of the City’s 5,756 miles of roadways. The project analyzed various City assets
including protective barriers, pavement markings, signal support structures, MUTCD
specialty signs, sign support, sidewalks, and sidewalk obstructions. Following collection,
PCI and IRI data are being implemented into the City’s GIS. The ROW assets are being
imported into Cartegraph.
City of Rancho Palos Verdes, California – Roadway Asset Management Program
Mr. Rivera served as the Data Collection Manager for the City of Rancho Palos Verdes’
mobile data collection project for its 150 centerline mile network. The project consisted of
utilizing RAC vehicles to provide a ROW asset inventory. The ROW Asset inventory
included the following assets: curb and gutter, curb ramps, concrete medians, and
guardrails.
FIRM
Roadway Asset Services
2 years
EXPERIENCE
12 years
EDUCATION
B.S., Mechanical
Engineering, University
of Central Florida, 2011
B.S., Aerospace
Engineering, University of
Central Florida, 2016
Sandra Marrero, E.I.
PROJECT ENGINEER
Ms. Marrero works on the firm’s roadway asset collection projects
with a pavement analysis component. Sandra has over eight
years of experience evaluating pavement conditions, processing
pavement ratings, preparing reports, performing maintenance
budget scenarios, reporting the results of project finding in
meetings, and discussing with the Client. Her software
experience includes Lucity, Cartegraph, Streetlogix, PAVER,
VUEWorks, EarthShaper, ArcGIS, AutoCAD, Civil 3D, and the
Microsoft Office suite.
KEY PROJECTS
Pennington County- Pavement Condition Assessment
Mrs. Marrero is serving as a Project Engineer for the County’s
pavement condition survey for 684 survey miles. Automated
collection vehicles will be utilized to collect pavement distress
information that follows the ASTM D6433 methodology. Following collection, the County
will be provided the RAS Videologger that enables County Staff to visually view
information collected from the survey.
Central Texas Regional Mobility Authority – Pavement Condition Assessment
Mrs. Marrero is serving as a Project Engineer for the automated data collection of
CTRMA’s 286 test miles. RAS is utilizing an RAC van to collect imagery on pavement
distresses and IRI. RAS is also completing skid testing for CTRMA. Following collection,
RAS will utilize the TxDOT Pavement Management Information System to determine
distress and pavement condition scores.
City of Albuquerque, New Mexico – Pavement Condition Survey
Ms. Marrero served as a Project Engineer for the mobile image data collection project of
the City’s 4,548 lane mile network. RAC vehicles were utilized, in accordance with the
ASTM D6433, to provide the City with a PCI value for each street segment and the overall
PCI value for the network. The project also included an extensive ROW asset inventory
that included: traffic signs, pavement markings, pavement striping, sidewalks, ADA ramps,
driveways, bike lanes, curb and gutter, guardrail, streetscapes, traffi c calming devices,
polygon mapping, control boxes, backflows, and electrical/water meters. Ms. Marrero
assisted with data integration in the City’s pavement management software, VUEWorks.
City of Rowlett, Texas - Pavement Condition Assessment and ROW Asset Inventory
Mrs. Marrero served as a Project Engineer for the City’s automated data collection project
for 327 test miles of pavement and 107 miles of alleys. Additionally, RAS is completing
an extensive ROW asset inventory for the following assets: traffic signs, pavement
markings, pavement striping, sidewalks, and ADA ramps. The pavement data is being
imported into the City’s PAVER database as well as VUEWorks, the City’s asset
management system. Ms. Marrero assisted with the development and delivery of the final
report.
FIRM
Roadway Asset Services
1 year
EXPERIENCE
8 years
EDUCATION
B.S., Civil Engineering,
University of Puerto Rico, 2013
REGISTRATIONS
-FL Engineer Intern,
Certificate
Number:1100023293
Experience and
Qualifications
of the Vendor
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
4
Proprietary Information
7.2.2 Experience and Qualifications of the Vendor
The RAS executive team is comprised of established industry veterans who have
dedicated their careers to the field of pavement and asset management. RAS team
members have performed over 200 pavement and asset management projects in the last
5 years in accordance with ASTM D6433 and AASHTO R 57. RAS offers the Town the
most experienced data collection team to provide assurance that the collection and
processing of data will be delivered on schedule. We have an outstanding record of
completing projects of similar size and scale, on time and within budget. The RAS team
advantage to the Town of Fountain Hills is as follows:
Municipal Experience – Unlike many other proposing firms, RAS exclusively
performs Pavement Condition Assessments for municipalities of varying sizes.
RAS has completed or is currently completing pavement condition assessments
for Arizona Department of Transportation (ADOT); Denver, CO; Salt Lake City, UT;
Albuquerque, NM; Grand Junction, CO; New Braunfels, TX; Charlotte, NC; Austin,
TX; and Memphis, TN.
Advanced Laser Technology – RAS uses the most advanced 3D surface
imaging technology available in the marketplace. The Laser Crack Measurement
System (LCMS-2) technology and 360 Degree Camera for ROW Assets (Ladybug
panoramic imagery) represent the most sophisticated hardware available for
objective and repeatable condition assessments. The combination of
technology/software will be utilized for the pavement condition assessment and
the collection of street segment attributes.
Innovative Repair Analysis Scenario & Optimization – Project Manager, Zac
Thomason, is familiar with the Town’s requirements for multi-year planning and
repair recommendations as he managed the Town’s previous pavement condition
project. An innovation that Mr.
Thomason and Mr. Kramer would like to
reimplement in the Town’s version of
Lucity is the distinction between the pre-
incorporation and post-incorporation
roadways. The pre-incorporation
roadways have a unique design and
cross section that should be modeled
with their own deterioration curves and
more importantly, their own set of
rehabilitation activity unit rates.
Field Pilot – One unique feature provided by the RAS team is the dedication to
quality, which is initiated through a field pilot study at the beginning of the project.
During the field pilot study, RAS’ Project Manager, Zac Thomason, MBA, and
Senior Pavement Engineer, Scot Gordon, PE, IAM, will review site conditions on
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
5
Proprietary Information
select roadways (approximately 10-miles of roadway) with Town Staff for
acceptance before the network wide pavement analysis is completed. Further
information on the RAS field pilot can be found on page 15 of this submission.
In addition, the Town of Fountain Hills roadways often suffer from oxidative
damage before load associated challenges arise. Therefore, it is imperative that
the configuration of Lucity mimics the Town’s adopted preservation strategy and
surface treatment program of applying Slurry seals in the appropriate sequence.
However, the system should also be flexible enough to accommodate for newly
innovative preservation activities that the Town may not yet be harnessing.
Lastly, Mr. Thomason and Mr. Kramer fully integrate the power of financial
optimization through the Lucity system’s ability to identify Critical Roadways (those
getting ready to drop into next rehab activity) and sequence them by their cost of
deferral. Optimization is described in more detail on page 22 of this submission.
Experience in Providing Services to Municipalities
Unlike many other proposing firms, RAS is solely dedicated to providing pavement and
asset management services to agencies throughout the Country. Throughout the last 2
years, RAS has worked with various municipalities and departments to improve the
overall street networks. Below, is a sample list of completed and active projects and their
associated scope of work.
Test
Miles
International Roughness Index (IRI)Pavement Evaluation Pavement Condition IndexGIS SegmentationROW Asset InventoryPilot Program and Field QA/QCDeterioration Curves and ModelingAMS IntegrationSystem TrainingPavement Condition and ROW Asset Survey 5,150 Charlotte, NC X X X X X X X
Pavement Data Collection 5,000 Arizona DOT X X X X
Pavement Condition and ROW Asset Survey 4,548 Albuquerque, NM X X X X X X X X X
Pavement Data Collection 3,750 Austin, TX X X X X X X
Traffic Sign Data Collection 3,750 Austin, TX X X X X
Pavement Data Assessment 3,086 Denver, CO X X X X X X X X X
Pavement Condition Survey 3,048 Memphis, TN X X X X X X X X
Pavement Evaluation and ROW Asset Services 1,594 Corpus Christi, TX X X X X X X X X X
Pavement Condition Assessment 1,500 Sarasota County, FL X X X X X X X X
Pavement Condition Survey and ROW Asset Inventory 1,023 Durham, NC X X X X X X X X X
Pavement Condition Survey 730 Salt Lake City, UT X X X X X X X X
Pavement Condition Survey 654 Pueblo, CO X X X X X X X X
Pavement Data Survey and ROW Asset Inventory 618 Denton, TX X X X X X X X X X
Pavement Condition and Inventory Survey 608 Greenville, SC X X X X X X X X X
Pavement Condition Survey 473 Kingsport, TN X X X X X X X X
Pavement Condition Survey and ROW Asset Inventory 460 New Braunfels, TX X X X X X X X X X
Pavement Data Collection 286 CTRMA X X X X X X X
Professional Asset Management Services N/A San Antonio, TX X X X
Pavement Condition Survey
Project Client Name
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
6
Sample Projects and References
City of Salt Lake City, Utah – Pavement Condition Survey
RAS performed a pavement condition survey for
Salt Lake City’s 730 test mile network. RAS
provided GIS based deliverables and formatted
data for an import into Cartegraph. RAS assisted
City staff in presenting data to City Council
regarding various funding amounts and strategies
for improving the City’s PCI and its level of service.
Prior to data collection, Mr. Rivera worked with the
City’s GIS staff to identify the appropriate mileage
for collection and review of the GIS segmentation
provided in the City’s database. Appropriate
segmentation was laid out based on a crossroad-
to-crossroad section divider. A 10-mile pilot was
conducted for early collection to validate the
accuracy of the assessment deliverables.
The evaluation project also included a technical
report presenting the predominant distresses,
statistical analysis of the condition results, and
repair recommendations. The report provided
results based upon surface type and division of
functional classification. The results presented in
the database and report were used to develop a
cost-effective approach to maintenance,
improving the City’s preservation techniques, and
optimizing budgetary expenditures.
RAS collaborated with the City during this project
to review and compare the City’s historical
condition data from 2017 with the data collected in
the current evaluation. The purpose of this
exercise was to update the existing pavement
deterioration curves within the Cartegraph system.
The City uses Cartegraph OMS as their pavement
management system to manage pavement
condition data, track maintenance activities,
develop models for prediction of future
performance, produce budget scenarios, and
evaluate future funding requirements.
Time Period of Project
September 2021- June 2022
Project Budget
$202,975
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Deterioration Curves -Cartegraph
-Video Logger
Client Name and Contact
David Jones, Program Manager
City of Salt Lake City
2001 S State Street N3-600
Salt Lake City, UT 84190
801-535-6425
David.jones@slcgov.com
RAS Role
RAS served as the Prime Contractor
RAS Team Members
Scot Gordon, Project Engineer
Zac Thomason, Assistant Project
Manager
Bart Williamson, Project Principal
Mark Kramer, QA/QC Manager
Rafael Rivera, Data Collection
Manager
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
7
Albuquerque, NM – Pavement Condition Survey & ROW Asset Inventory
RAS completed a pavement condition survey for
the City’s 4,548 lane mile network of roadways and
alleys. In accordance with ASTM D6433, RAS
completed the survey using its fleet of RAC
vehicles. The RAC vehicle drove all roads in both
directions to provide the most expansive collection
for the City. Additionally, RAS completed an
extensive ROW inventory and condition
assessment of the following assets for the City:
traffic signs, pavement markings, pavement
striping, sidewalks, ADA ramps, driveways,
bike lanes, curb and gutter, guardrail,
streetscapes, traffic calming devices, polygon
mapping, control boxes, backflows, and
electrical/water meters.
Imagery for pavement evaluation and asset
extraction was captured with the RAC automated
data collection vehicle. The RAC vehicle is
equipped with a second-generation Laser Crack
Measurement System (LCMS-2) for automated
pavement data acquisition, Ladybug 360 camera
system for capturing right-of-way imagery, and a
laser profiler that includes two-line lasers for
capturing roughness and ride data. The project
provided efficient and cost-effective data extraction
in a GIS environment that was seamlessly
integrated into the City’s VUEWorks asset
management software system.
For the traffic sign inventory, RAS extracted nearly
90,000 signs and provided the City with the
following attributes: Asset ID, X,Y location, MUTCD
code, sign text, photo image link, physical condition
rating (good, fair, poor), location, post total, sign
facing direction, travel direction, obstructions,
legend color, back color, hump case, support
structure type, and comments.
Time Period of Project
March 2021- July 2022
Completion
Completed on time and within
budget
Project Budget
$2,841,146
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Review Soil Conditions -PMS
-Video Logger -ROW
-Deterioration Curves
Client Name and Contact
Doug Rizor, Systems Programmer
City of Albuquerque
1 Civic Plz NW #7057
Albuquerque, NM 87102
505-366-4020
rizor.d.abq@gmail.com
RAS Role
RAS served as the Prime Contractor
RAS Team Members
Scot Gordon, Project Manager
Zac Thomason, Assistant Project
Manager
Bart Williamson, Project Principal
Rafael Rivera, Data Manager
Mark Kramer-QA/QC Manager
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
8
Durham, North Carolina – Pavement Condition Survey
RAS performed a pavement condition survey for
the City of Durham’s 1,540 lane mile network. The
project consisted of a PCI Survey and ROW asset
inventory covering traffic signs, curb and gutter,
and crosswalk slopes. Data collection for the
pavement condition survey was completed with
RAC vehicles, in accordance with the ASTM
D6433. The RAC vehicle is equipped with an
inertial profiler for Roughness and Ride
measurements, a second-generation Pavemetrics
Laser Crack Measurement System for pavement
imagery, Point Gray Ladybug 5+ 30 MP 360
camera for asset capture, and an Applanix
POS/LV for capturing GPS coordinates. Following
collection, data was imported into PAVER.
36,416 traffic signs were inventoried and assessed
with the following attributes for each sign including:
X,Y location, street name asset is located on,
Asset ID, Facility ID, photo image link, MUTCD
code, physical condition rating (good, fair, poor),
and support type. RAS also assessed curb and
gutters for 1,075 lane miles and provided the
following attributes: Asset ID, Facility ID, photo
image link, physical condition rating (good, fair,
poor), painted color, and material type. Lastly,
RAS inventoried 1,229 crosswalks.
As the Project Manager, Mr. Gordon met with the
engineering staff to refine budget requirements
and develop a 10-year maintenance plan to
improve the efficiency of treatments and decrease
the necessity for additional funds. After presenting
results to the engineering staff, Mr. Gordon met
with the City Council during budget planning
meetings to present the findings and the
recommended maintenance plan.
Time Period of Project
July 2021- December 2021
Completion
Completed on time and within
budget
Project Budget
$374,712 2021
Responsibilities
-Pavement Evaluation -PCI
-IRI Measurement -GIS
-Review Soil Conditions -ROW
-Deterioration Curves
Client Name and Contact
Clint Blackburn, Project Manager
City of Durham
101 City Hall Plaza, Ste. 3100
Durham, NC 27701
704-301-7193
clint.blackburn@durhamnc.gov
RAS Role
Key Members worked at RAS
RAS Team Members
Scot Gordon, Project Manager
Bart Williamson, Assistant Project
Manager
Rafael Rivera, Data Collection
Manager
Sandra Marrero, Pavement
Engineer
Mark Kramer, QA/QC Manager
Key Positions
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
9
7.2.3 Key Positions - Roles and Responsibilities
Organizational structure is important to understand as it can often shed light on whom a
municipal agency will really be working with on any given assignment. While the Town
can select any qualified data collector as a short-term vendor, RAS prefers to develop
long term consultative relationships with our clients that result in turn-key pavement
management implementations that exceed client expectations. The key personnel
assigned to this project are all long-time veterans of the industry and have extensive
experience in pavement distress field rating, Pavement Condition Index (PCI) processing,
multi-year prioritization, Lucity configurations, and custom database integrations.
The RAS team is composed of industry experts that provide Best-in Class pavement
management programs. The RAS team uses previously established roles to ensure
seamless transition of project ownership. Role assignments are as presented below:
Project Manager: Zac Thomason, MBA, has over 16 years of experience in
pavement management, ASTM D6433 automated data collection, financial
optimization, and complete Lucity integration. Mr. Thomason has managed the
previous pavement condition project for the Town and provided ad-hoc and on-call
services for the Town as it relates to multi-year planning, repair recommendations,
budget optimization, and Town Council Meetings. Mr. Thomason will deliver final
reports and establish channels of communication between the Town’s Staff and
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
10
the RAS Team. Mr. Thomason will also provide analysis scenarios and Lucity
training for the Town’s Staff. Lastly, due to his local presence, Mr. Thomason will
attend Town meetings in person and be onsite during the field pilot review with
Senior Pavement Engineer, Scot Gordon.
Assistant Project Manager: Mark Kramer, PE, MBA, has 24 years of experience
in automated data processing routines, commercial off-the-shelf software, data
management, pavement analysis, and data integration. Mr. Kramer worked with
the Town during the previous pavement condition survey to load the inspection
data to Lucity, configure the operating parameters of the analysis, and run the
Lucity budgetary modeling. Mr. Kramer will provide QA/QC checks of data to
ensure that automated interpretations of distresses match what is visually
represented. As an optional service, Mr. Kramer could also provide onsite Lucity
training if this is not supplied by CentralSquare representatives.
Project Principal: Bart Williamson has over 30 years of project insurance and
management experience and has worked in the transportation industry for over 16
years. Mr. Williamson will coordinate project needs and resources to ensure high-
quality deliverables are received in a timely manner.
Senior Pavement Engineer: Scot Gordon, PE, IAM, has over 30 years of
licensed Professional Engineering experience in pavement engineering, design,
and transportation planning. Mr. Gordon will review distress interpretations and
provide expertise in pavement management optimization. Mr. Gordon will perform
a 10-mile field pilot study to make necessary corrections to processing routines
and review quality assurance measures with the Town’s Staff.
Data Collection Manager: Rafael Rivera has 12 years of experience in
automated pavement and ROW data collection field efforts. Mr. Rivera is
responsible for updating schedules based on collection status, overseeing the daily
operation crew, and initiating/reviewing the evaluation process for pavement and
ROW assets.
Project Engineer: Sandra Marrero, EI has 8 years of experience evaluating
pavement conditions, processing pavement ratings, preparing reports, and
performing maintenance budget scenarios. Ms. Marrero will assist in the
development of a final report.
Appendix
Zac Thomason, MBA
PROJECT MANAGER, SENIOR VICE PRESIDENT
Mr. Thomason brings over 16 years of dedicated pavement and
asset management experience where his focus has been on the
use of semi-automated and automated technologies for
pavement distress surveys, enterprise software implementation,
pavement preservation, budget modeling & forecasting, and
multi-year rehabilitation plan development. In addition to
pavements, Mr. Thomason has vast experience with Right of
Way asset inventory development that ranges from roadside
features such as signs & supports, sidewalks, pedestrian curb
ramps, striping & markings, curb & gutter, guardrail, bike racks,
and nearly any asset that can be seen in the right of way. He has
also managed complex sidewalk and pedestrian curb ramp
inventory assignments that have included off road vehicle data
collection, advanced LiDAR surveys to acquire geometric
measurements (ramp, landing, & flare), long-range project
prioritization sequencing, and project planning.
Municipal Leadership Experience in Arizona & the
Southwest: Fountain Hills, Yuma, Casa Grande, Marana, Pinal County, Glendale,
Goodyear, Scottsdale, Gilbert, Prescott, Coconino County, & Bullhead City, AZ;
Albuquerque, Roswell, Las Cruces, Los Alamos County, & Dona Ana County, NM; Long
Beach, Pasadena, Fontana, Orange County, Imperial County, Carlsbad, La Mesa,
Lancaster, San Luis Obispo, Coachella Valley Association of Governments (CVAG), &
Modesto, CA.
*projects in red represent Lucity users
LUCITY PROJECT LEADERSHIP ROLES IN ARIZONA
Town of Fountain Hills, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for a networkwide pavement data collection
and analysis update for the Town of Fountain Hills. Semi-automated data collection
equipment was utilized to survey over 160 centerline miles of Town maintained arterial,
collector, and residential roadways, resulting in over 200 survey miles. All data was
collected in conformance with the ASTM D6433 protocols and the extent/severity data
was summarized as a 0-10 index for import into the Lucity pavement management
software. While the Lucity software was not installed on Town servers, the license was
hosted by the consultant and the Lucity analysis parameters were configured to match
the Town’s existing business practices. Maintenance and rehabilitation activities were
updated for the pre-incorporation and post-incorporation roadways, deterioration curves
were updated, and budget models were run within Lucity to develop a 10 -year condition
and budget forecast. The results of the analysis were bound into a final report a nd
presented to Town Council in multiple formats to assist in budget discussions , level of
service identification, and long range transportation planning.
FIRM
Roadway Asset Services
EXPERIENCE
16 years
EDUCATION
M.B.A., Business
Administration,
University of
Phoenix, 2007
B.S., Global Business,
Arizona State
University, 2005
LOCATION
Chandler, Arizona
Zac Thomason, MBA- Project Manager
City of Prescott, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for a networkwide pavement data collection
and analysis update for the City of Prescott. Semi-automated data collection equipment
was utilized to survey over 293 centerline miles of City maintained arterial, collector, and
residential roadways, resulting in over 360 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationship between the network
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” with the pavement
management models. Supersegments were developed based upon relative condition,
pavement type, and a maximum upset limit. Supersegments were then linked to form a
cohesive neighborhood based approach. The results of the analysis were presented to
City Council such that they understood the current condition of the network, challenges
to be overcome, and the impact of the current budget on the road network.
Pinal County, Arizona – Pavement Condition Survey, ROW Assets, & Analysis
Mr. Thomason has served as the Assistant Project Manager and Project Manager for
multiple networkwide pavement data collection and analysis updates for Pinal County.
Semi-automated data collection equipment was utilized to survey over 1,386 centerline
miles of County maintained arterial, collector, and residential roadways, resulting in over
1,700 survey miles. All data was collected in conformance with the ASTM D6433
protocols and the extent/severity data was summarized as a 0-10 index for import into the
Lucity pavement management software. During the last data collection project, the
Lucity operating parameters were fully updated to ensure the County was taking
advantage of the recent updates within the Lucity software. Budgetary models were run
within the system to identify the steady state PCI and backlog requirements. Right of way
asset inventories were also captured as a part of the project, loaded to the appropriate
Lucity module, and delivered as a Personal Geodatabase with representative symbology.
City of Paradise Valley, Arizona – Pavement Condition Survey & Analysis
Mr. Thomason served as the Project Manager for multiple networkwide pavement data
collection and analysis updates for the City of Paradise Valley. Semi-automated data
collection equipment was utilized to assess over 190 survey miles. All data was collected
in conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationsh ip between the network
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” on a Maintenance District
by Maintenance District basis within the models. Supersegments were developed based
upon relative condition, pavement type, and a maximum upset limit. The results of the
analysis were presented to City Council such that they understood the current condition
of the network, challenges to be overcome, and the impact of t he current budget on the
road network.
BART WILLIAMSON, FCLS
PROJECT PRINCIPAL
Mr. Williamson brings over 30 years of management
experience in a wide variety of projects and programs that
include public works, insurance, and transportation on a
national level. He has developed an in-depth understanding
of business processes and politics that are germane to
governments. Mr. Williamson has assisted with asset
management needs assessments, management of pavement
condition survey, and ROW collection projects.
KEY PROJECTS
Arizona Department of Transportation- Geospatial Roadway Data Collection
Mr. Williamson is serving as Project Principal for the Arizona Department of
Transportation’s pavement condition survey of 5,000 test miles. Automated data
collection vehicles are utilized to provide pavement data and imagery in accordance with
the HPMS guidelines for statewide data collection. Mr. Williamson coordinates project
needs and establishes channels of communication that works with the Department staff.
Arizona Department of Transportation-City of Maricopa- Road Sign Data Collection
Mr. Williamson was the Project Principal for conducting a road sign inventory and an
FHWA approved visual nighttime retroreflectivity inspection of all road signs located within
the LPA jurisdictional boundaries. Data collection occurred on the City’s 446 miles of
roadways using automated data collection vehicles. The traffic sign inventory data was
imported into VUEWorks to track the sign inventory and prioritize asset replacement.
City of Grand Junction, Colorado – Street Assessment Project
Mr. Williamson is serving as the Project Principal for the City’s pavement condition survey
of 500 test miles. Roadway Asset Collection (RAC) vehicles were utilized to capture
pavement distress imagery for the calculation of PCI values. Following data collection
and PCI calculation, RAS will deliver a final Lucity import database file. In addition, RAS
is working with the City to set constraints within Lucity for performing internal budget
scenarios.
City of Albuquerque, New Mexico – Pavement Condition Survey
Mr. Williamson served as the Project Principal for the City’s Pavement Condition
Assessment of 4,548 lane miles. RAC vehicles were utilized, in accordance with the
ASTM D6433, to provide the City with a PCI value for each street segment and the overall
network. The project also included an extensive ROW asset inventory that included: traffic
signs, pavement markings, pavement striping, sidewalks, ADA ramps, driveways, bike
lanes, curb and gutter, guardrail, streetscapes, traffic calming devices, polygon mapping,
control boxes, backflows, and electrical/water meters. Mr. Williamson was responsible for
maintaining communication among the RAS team and the City staff. In addition, Mr.
Williamson coordinated project needs and met with the City to understand project goals.
FIRM
Roadway Asset Services
EXPERIENCE
30 years
EDUCATION
B.S., Business
Marketing Honors and
Distinction Indiana
University, 1989
Bart Williamson, FCLS – Project Principal
City of Salt Lake City, Utah – Pavement Condition Assessment
Mr. Williamson was the Project Principal for Salt Lake City’s pavement condition
assessment of 592 centerline miles of roadways. The project also included GIS based
mapping, geodatabase design, import into Cartegraph OMS, and long term pavement
preservation plans utilizing historic and current analysis. RAS performed budget analysis
and maintenance optimization scenarios for the City’s pavement network.
City of Austin, Texas– Pavement Data Collection (2022) and Traffic Sign Data
Collection (2021)
Mr. Williamson served as the Project Principal for the City of Austin’s 2021 Traffic Sign
Data Collection. The network (33,638 street segments and 5,000 test miles) was collected
utilizing mobile LiDAR imaging to provide the City with data and imagery on sign faces,
sign structures, sign location, and sign assets. Mr. Williamson is currently serving as the
Project Principal for the City’s 2022 Pavement Data Collection. This project consists of
providing distress data for the City’s 5,000 test mile road network. Following collection,
RAS will provide the City with a Video Logger for staff to visually display the inventory
elements and results of the survey.
City of Denver, Colorado – Pavement Condition Assessment
Mr. Williamson is serving as the Project Principal for the City’s 5,756 miles of roadways.
The project analyzed various City assets including protective barriers, pavement
markings, signal support structures, MUTCD specialty signs, sign support, sidewalks, and
sidewalk obstructions. Following collection, PCI and IRI data are being implemented into
the City’s GIS.
City of San Antonio, Texas – Pavement Condition Index Modeling Update
Mr. Williamson served as the Client Services Manager for the City’s analysis on PCI rate
deterioration between pavement evaluation results inputted into Cartegraph in 2019 and
2022. The project consisted of providing deterioration models, recommending
improvements for overall maintenance, and calculating average PCI per year per District.
RAS developed a multitude of budget scenarios within Cartegraph based on the cost of
treatment and predicted improvements to corresponding road sections.
City of Corpus Christi, Texas - Pavement Data Collection and Integration
Mr. Williamson served as the Project Principal for the City’s pavement condition data and
ROW asset inventory for the 2,448 miles of roadways. RAC vehicles were utilized to
assess pavement distress, curb and gutter, pavement markings and striping, traffic signs,
sidewalks, and ADA ramps. Following collection, PCI values were integrated into
Cartegraph.
City of Rancho Palos Verdes, California – Roadway Asset Management Program
Mr. Williamson served as the Project Principal for the City of Rancho Palos Verdes’ mobile
data collection project for its 150 centerline mile network. The project consisted of utilizing
RAC vehicles to provide a ROW asset inventory. The ROW Asset inventory included the
following assets: curb and gutter, curb ramps, concrete medians, and guardrails.
Mark Kramer, PE, MBA
ASSISTANT PROJECT MANAGER, CHIEF DATA OFFICER
Mr. Kramer serves as the Chief Data Officer at Roadway Asset
Services. Mr. Kramer has 24 years of experience in engineering and
information technology projects including pavement condition, sign
inventory, and sidewalk condition surveys. He is an expert in
commercial off the shelf software, data management, data analysis,
and delivery of technology projects.
Mr. Kramer’s expertise also extends to 3 rd party pavement
management system implementations as he previously worked for
Lucity as a software implementer and spent over 10 years serving
the Town of Gilbert as their Director of IT. As a part of those
responsibilities, Mr. Kramer and his team managed the Town’s
enterprise Lucity license and GIS synchronization.
PAVEMENT AND ASSET PROJECT EXPERIENCE
Town of Fountain Hills, AZ – Pavement Condition Survey
Mr. Kramer served as the Engineering Manager for a networkwide
pavement data collection and analysis update for the Town of
Fountain Hills. Semi-automated data collection equipment was
utilized to survey over 160 centerline miles of Town maintained
arterial, collector, and residential roadways, resulting in over 200
survey miles. All data was collected in conformance with the ASTM
D6433 protocols and the extent/severity data was summarized as a
0-10 index for import into the Lucity pavement management
software. While the Lucity software was not installed on Town
servers, the license was hosted by the consultant and the Lucity
analysis parameters were configured to match the Town’s existing business practices.
Maintenance and rehabilitation activities were updated for the pre -incorporation and post-
incorporation roadways, deterioration curves were updated, and budget models were run
within Lucity to develop a 10-year condition and budget forecast. The results of the
analysis were bound into a final report and presented to Town Council in mu ltiple formats
to assist in budget discussions, level of service identification, and long range
transportation planning.
City of Prescott, Arizona – Pavement Condition Survey & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide paveme nt data
collection and analysis update for the City of Prescott. Semi-automated data collection
equipment was utilized to assess over 360 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. The Lucity operating parameters were updated as a part of the analysis and
multiple budgetary models were run to establish the relationship between the network
FIRM
Roadway Asset Services
EXPERIENCE
24 years
EDUCATION
MBA-IT Western
International,2003
B.S., Civil Engineering,
Arizona State University,
1998
LOCATION
Mesa, Arizona
REGISTRATIONS
-AZ Professional
Engineer, Certificate
Number: 40225
Professional Certifications
Microsoft SQL Server
Microsoft Power BI
Mark Kramer, PE, MBA-IT – Assistant Project Manager
level PCI and annual funding. In addition, the Supersegments within Lucity were
developed and linked to form a true “Neighborhood Approach” with the pavement
management models. Supersegments were developed based upon relative condition,
pavement type, and a maximum upset limit. Supersegments were then linked to form a
cohesive neighborhood based approach. The results of the analysis were presented to
City Council such that they understood the current condition of the network, challenges
to be overcome, and the impact of the current budget on the road network.
Pinal County, Arizona – Pavement Condition Survey, ROW Assets, & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide pavement data
collection and analysis updates for Pinal County. Semi-automated data collection
equipment was utilized to assess over 1,700 survey miles. All data was collected in
conformance with the ASTM D6433 protocols and the extent/severity data was
summarized as a 0-10 index for import into the Lucity pavement management
software. During the last data collection project, the Lucity operating parameters were
fully updated to ensure the County was taking advantage of the recent updates within the
Lucity software. Budgetary models were run within the system to identify the steady state
PCI and backlog requirements. Right of way asset inventories were also captured as a
part of the project, loaded to the appropriate Lucity module, and delivered as a Personal
Geodatabase with representative symbology.
City of Paradise Valley, Arizona – Pavement Condition Survey & Analysis
Mr. Kramer served as the Engineering Manager for a networkwide paveme nt data
collection and analysis updates for the City of Paradise Valley. Semi -automated data
collection equipment was utilized to survey over 148 centerline miles of City maintained
arterial, collector, and residential roadways, resulting in approximately 190 survey miles.
All data was collected in conformance with the ASTM D6433 protocols and the
extent/severity data was summarized as a 0-10 index for import into the Lucity pavement
management software. The Lucity operating parameters were updated as a part of the
analysis and multiple budgetary models were run to establish the relationship between
the network level PCI and annual funding. In addition, the Supersegments within Lucity
were developed and linked to form a true “Neighborhood Approach” on a Maintenance
District by Maintenance District basis within the models. Supersegments were developed
based upon relative condition, pavement type, and a maximum upset limit. The results
of the analysis were presented to City Council such that they understo od the current
condition of the network, challenges to be overcome, and the impact of the current budget .
City of Yuma, Arizona – Pavement Condition Survey and Analysis
Mr. Kramer served as the Engineering Manager for this assignment to conduct a semi -
automated data collection effort of over 400 centerline miles of roadways. The City
migrated from the Cartegraph software to Lucity and conducted it’s first full linear
automated approach during this project. The condition data was processed into a
modified ASTM D6433 PCI score and loaded to a Lucity test environment. The City’s
robust preservation program was programmed into the Lucity model to assist in extending
roadway design life and maximizing the City’s limited funds. The results were aggregated
to the network level such that the results of the network as a whole could be documented.
G. SCOT GORDON, PE, IAM
SENIOR PAVEMENT ENGINEER
Mr. Gordon serves as President and Lead Pavement Engineer at
Roadway Asset Services. Mr. Gordon has 30 years of experience in
transportation engineering, geotechnical engineering, and
construction materials testing for transportation networks. As a
professional engineer, he has managed numerous projects such as
design/build highway projects, airfield pavement, and other
government projects. He is an expert in the design, evaluation,
monitoring, and research of pavement as well as pavement
rehabilitation and soil stabilization. Scot has completed numerous
projects related to pavement management system implementation,
pavement condition surveys, sign management surveys, and
sidewalk condition surveys. The following is a brief list of projects he
has managed.
KEY PROJECTS
City of Grand Junction, Colorado – Street Assessment Project
Mr. Gordon is serving as the Project Manager/Pavement Engineer
for the City’s pavement condition survey for 500 test miles of paved
roads. RAC vehicles are utilized to collect imagery for arterial,
collector, striped local roads, and residential roadways in accordance
with the ASTM D6433 methodology. PCI data is conducted on each
street segment which is typically blocked and tagged with a Facility -
ID on the feature class layer in GIS. Following PCI and IRI survey
results, data will be integrated into Lucity. Mr. Gordon will work with
City staff to develop budgetary scenarios that reflect treatment goals.
Arizona DOT- Geospatial Roadway Data Collection
Mr. Gordon is serving as Senior Pavement Engineer for the Arizona
Department of Transportation’s pavement condition survey of 5,000
test miles. Automated data collection vehicles are utilized to provide
pavement data and imagery in accordance with the HPMS guidelines
for the Statewide data collection.
City of Durham, North Carolina-Pavement Condition Survey
Mr. Gordon served as the Senior Pavement Engineer for the
automated pavement condition survey of the City’s 700 mile
pavement network. The project included data collection per the
ASTM D6433, pavement condition rating/assessment, budget
analysis, and maintenance repair recommendations and reports. Mr.
Gordon worked with the City on the interpretation of PCI results and
presented the findings to the City Council for budget planning.
FIRM
Roadway Asset Services
EXPERIENCE
30 years
EDUCATION
M.E., Civil Engineering,
Texas A&M University,
1990
B.S., Civil Engineering,
Texas A&M University,
1989
REGISTRATIONS
-TX Professional
Engineer, Certificate
Number:88099
-CO Professional
Engineer, Certificate
Number:30239
-MD Professional
Engineer, Certificate
Number:33493
-FL Professional
Engineer, Certificate
Number:83979
-NC Professional
Engineer, Certificate
Number:46459
-NM Professional
Engineer, Certificate
Number:26330
-GA Professional
Engineer, Certificate
Number:45916
-Institute of Asset
Management Certified
G. Scot Gordon, PE, IAM – Senior Pavement Engineer
City of Salt Lake City, Utah – Pavement Condition Assessment
Mr. Gordon was the Project Manager/Senior Pavement Engineer for Salt Lake City’s
pavement condition survey on approximately 592 centerline miles of roadways. The
project included the calculation of PCI values, GIS based mapping, geodatabase design,
Cartegraph importation, and long term pavement preservation plans that examine historic
and current analysis. Mr. Gordon worked with the City the develop a multitude of
budgetary scenarios based on maintenance strategies and recommendations.
City of New Braunfels, Texas – Pavement Data Collection and ROW Inventory
Mr. Gordon served as the Senior Pavement Engineer for the City’s pavement condition
data collection of 469 test miles of roadways. Pavement data was collected utilizing an
RAC vehicle that captures images for all pavement and ROW assets. Following collection,
PCI survey results were analyzed utilizing RAS’ Road TRIP (Technical Rating Intelligence
Program) to identify distresses including alligator cracking, longitudinal cracking, raveling,
and patching. Mr. Gordon conducted a field pilot validation study at project initiation to
preliminarily review condition data before collecting the entire network. In add ition, Mr.
Gordon assisted the City in the interpretation of PCI values and repair recommendations.
Denver, Colorado - Pavement Condition Survey
Mr. Gordon is serving as the Senior Pavement Engineer for the City’s 5,756 miles of
roadways. The project analyzed various City assets including protective barriers,
pavement markings, signal support structures, MUTCD specialty signs, sign support,
sidewalks, and sidewalk obstructions. Following collection, PCI and IRI data are being
implemented into the City’s GIS. Mr. Gordon hosts monthly meetings with City Staff and
RAS Team Members to update project resources, discuss current goals, and maintain
communication throughout project fulfillment.
Albuquerque, New Mexico - Pavement Condition Survey and ROW Asset Inventory
Mr. Gordon served as the Senior Pavement Engineer for the City’s pavement condition
survey for its 4,548 lane mile network of roadways and alleys. RAC Vehicles collected
imagery for the following ROW assets: traffic signs, pavement markings, pavement
striping, sidewalks, ADA ramps, bike lanes, curb and gutter, guardrail, streetscapes,
traffic calming devices, polygon mapping, control boxes, backflows, and electrical/water
meters. Asset extraction was integrated into the City’s VUEWorks asset management
system.
Mesa County, Colorado - Pavement Data Collection
Mr. Gordon served as the Senior Pavement Engineer for the County’s pavement condition
survey of 698 centerline miles of paved roads. Mr. Gordon was responsible for assuring
data collection by the RAC vehicles developed unique identifiers for each road segment
so the County can maintain a persistent link to GIS data. Mr. Gordon selected pavement
treatments based on PCI ratings and identified distress types. Survey results were
incorporated into the County’s pavement management system, Cartegraph.
RAFAEL RIVERA
DATA COLLECTION MANAGER
Mr. Rivera has over 12 years of experience in automated data
collection of pavement and ROW asset inventories. Mr. Rivera
has been involved with collection and management of over
100,000 miles of roadways. Mr. Rivera’s positions have included
automated data collection vehicle operator, pavement a nalyst,
LiDAR analyst, and GIS analyst.
KEY PROJECTS
City of Salt Lake City, Utah– Pavement Condition Assessment
Mr. Rivera was the Data Collection Manager for the City’s
automated pavement surface inventory and distress survey on
approximately 592 centerline miles. Final deliverables consisted
of PCI values, GIS based mapping, geodatabase design, import
into Cartegraph, data and budget analysis, maintenance
optimization, and pavement preservation plans with an
examination of historic and current analysis. Mr. Rivera provided
route tracking for field operation crew and ensured 100% of the
network was collected.
Arizona Department of Transportation- City of Buckeye- Sign Data Collection
Mr. Rivera was the Data Collection Manager for the collection of a road sign inventory
and visual nighttime retroreflectivity inspection of all road signs located within the LPA
jurisdictional boundaries. The daytime inventory and condition assessment of the City’s
1,850 test miles of roadway was collected via automated data collection vehicles. The
retroreflectivity assessment was conducted using an FHWA approved nighttime visual
assessment methodology.
City of Denver, Colorado – Pavement Condition Assessment
Mr. Rivera is serving as the Data Collection Manager for the automated data collection
project of the City’s 5,756 miles of roadways. The project analyzed various City assets
including protective barriers, pavement markings, signal support structures, MUTCD
specialty signs, sign support, sidewalks, and sidewalk obstructions. Following collection,
PCI and IRI data are being implemented into the City’s GIS. The ROW assets are being
imported into Cartegraph.
City of Rancho Palos Verdes, California – Roadway Asset Management Program
Mr. Rivera served as the Data Collection Manager for the City of Rancho Palos Verdes’
mobile data collection project for its 150 centerline mile network. The project consisted of
utilizing RAC vehicles to provide a ROW asset inventory. The ROW Asset inventory
included the following assets: curb and gutter, curb ramps, concrete medians, and
guardrails.
FIRM
Roadway Asset Services
2 years
EXPERIENCE
12 years
EDUCATION
B.S., Mechanical
Engineering, University
of Central Florida, 2011
B.S., Aerospace
Engineering, University of
Central Florida, 2016
Sandra Marrero, E.I.
PROJECT ENGINEER
Ms. Marrero works on the firm’s roadway asset collection projects
with a pavement analysis component. Sandra has over eight
years of experience evaluating pavement conditions, processing
pavement ratings, preparing reports, performing maintenance
budget scenarios, reporting the results of project finding in
meetings, and discussing with the Client. Her software
experience includes Lucity, Cartegraph, Streetlogix, PAVER,
VUEWorks, EarthShaper, ArcGIS, AutoCAD, Civil 3D, and the
Microsoft Office suite.
KEY PROJECTS
Pennington County- Pavement Condition Assessment
Mrs. Marrero is serving as a Project Engineer for the County’s
pavement condition survey for 684 survey miles. Automated
collection vehicles will be utilized to collect pavement distress
information that follows the ASTM D6433 methodology. Following collection, the County
will be provided the RAS Videologger that enables County Staff to visually view
information collected from the survey.
Central Texas Regional Mobility Authority – Pavement Condition Assessment
Mrs. Marrero is serving as a Project Engineer for the automated data collection of
CTRMA’s 286 test miles. RAS is utilizing an RAC van to collect imagery on pavement
distresses and IRI. RAS is also completing skid testing for CTRMA. Following collection,
RAS will utilize the TxDOT Pavement Management Information System to determine
distress and pavement condition scores.
City of Albuquerque, New Mexico – Pavement Condition Survey
Ms. Marrero served as a Project Engineer for the mobile image data collection project of
the City’s 4,548 lane mile network. RAC vehicles were utilized, in accordance with the
ASTM D6433, to provide the City with a PCI value for each street segment and the overall
PCI value for the network. The project also included an extensive ROW asset inventory
that included: traffic signs, pavement markings, pavement striping, sidewalks, ADA ramps,
driveways, bike lanes, curb and gutter, guardrail, streetscapes, traffi c calming devices,
polygon mapping, control boxes, backflows, and electrical/water meters. Ms. Marrero
assisted with data integration in the City’s pavement management software, VUEWorks.
City of Rowlett, Texas - Pavement Condition Assessment and ROW Asset Inventory
Mrs. Marrero served as a Project Engineer for the City’s automated data collection project
for 327 test miles of pavement and 107 miles of alleys. Additionally, RAS is completing
an extensive ROW asset inventory for the following assets: traffic signs, pavement
markings, pavement striping, sidewalks, and ADA ramps. The pavement data is being
imported into the City’s PAVER database as well as VUEWorks, the City’s asset
management system. Ms. Marrero assisted with the development and delivery of the final
report.
FIRM
Roadway Asset Services
1 year
EXPERIENCE
8 years
EDUCATION
B.S., Civil Engineering,
University of Puerto Rico, 2013
REGISTRATIONS
-FL Engineer Intern,
Certificate
Number:1100023293
Project
Approach
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
11
Proprietary Information
7.2.4 Project Approach
Project Understanding
RAS understands the Town of Fountain Hills is seeking a qualified vendor to conduct a
block-to-block pavement condition assessment on 390 lane miles of roadway. The
pavement condition assessment will be conducted utilizing a Roadway Asset Collection
(RAC) vehicle that is equipped with the most advanced 3D surface imaging technology,
IMU enabled GPS, differential encoder, and a Ladybug 360 degree camera for ROW
capture. RAS will calculate an ASTM D6433 Pavement Condition Index (PCI) score using
the extent and severity distress data captured in the field. While conducting the pavement
condition assessment and listed as an optional service in the RAS fee structure, the RAC
vehicles can also capture ROW attributes for traffic signs, pavement markings, excess
pavement in the gutter pan, and speed humps.
The pavement data will be processed per
street segment for the entire roadway
network using the continuous and detailed
20-foot linear samples acquired by the RAC
Laser Crack Measurement System (LCMS-
2) vehicle. RAS will adopt the Town’s
existing GIS centerlines and Segment ID’s
that were assigned during the last round of
data collection. As conducted on previous
assignments in Fountain Hills, the RAC
vehicle will two pass test arterials and collectors while single pass testing residential
roadways, resulting in approximately 203 survey miles.
The detailed data collected by the RAC vehicle will eventually be rolled up to the segment
level for PCI reporting purposes. The Town will receive the condition and analysis results
in several formats such as Excel Spreadsheets, geodatabases for plotting within a GIS
environment, ESRI Storymap’s, and an RAS Microsoft Power BI Dashboard that displays
the results of the Lucity analysis using presentation quality graphs and illustrations.
Pavement Data Collection Equipment
To complete the automated pavement condition survey, the RAS team will utilize RAC
vehicles from the fleet of four (4), equipped with:
The LCMS-2 camera is a downward-facing laser array providing images used to
evaluate data that conforms with ASTM D6433 protocols, which uses two 1-
millimeter-pixel resolution line scan cameras to provide a customized digital
condition rating system to collect user defined severity/extent-based
pavement distresses and rutting.
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
12
Proprietary Information
The pavement distress type, density, severity, and extent are collected with the
LCMS-2 and are used to calculate a Pavement Condition Index (PCI) score,
between 0-100, that represents the condition of 100% of the driven lanes.
Point Gray Ladybug 5+ 32MP 360-degree High-Definition camera (utilized for
accurate ROW asset capture, extraction, and pavement QA/QC ) is far superior
to multiple independently mounted HD cameras.
Linear distance measuring to within +/-0.5%.
A class 1 inertial profiler for simultaneously capturing
dual-wheel path (left and right) International Roughness
Index (IRI) measurements to the hundredth inch, in
accordance with AASHTO R48. The profiler has gone
through ASTM E-950 certification and has been
independently certified by Texas A&M Transportation
Institute (TTI) and the National Center for Asphalt
Technology (NCAT). The inertial profiler meets the
requirements and operates in accordance with AASHTO Standards M 328, R 57-
10, R 56-10, and R43M/R43-7.
Applanix POS/LV with DGPS (Provides accurate internal GPS navigation for
geo-locating pavement and right of way asset information ).
All subsystems for the RAC vans are integrated using tight synchronization between all
data streams on the truck in real-time, referenced to both time and distance. All sensor
locations are coordinated to the vehicle’s reference point, together with the GPS
and IMU hardware, using 3D translations and rotations. This allows the final world
coordinates of all sensor data streams to be calculated and integrated. The methods for
automated data collection and pavement condition rating are repeatable and defensible.
Town of Fountain Hills
Pavement Condition and Evaluation Related Services
13
Proprietary Information
RAS is fully capable of meeting the scope requirements as our team owns four (4) RAC
vehicles and retains a strategic partnership with our equipment manufacturer and
assembler that can result in mobilizing as many LCMS-2 vehicles as needed for a
reasonable project completion timeline. RAS’ access to state-of-the-art equipment
ensures project timeline goals are met as the team can supplement additional RAC
vehicles or transfer equipment at a moment’s notice for instances of equipment
malfunction. Our fleet of RAC vehicles provides the Town an additional line of
security, as the equipment is less than a year old.
Collection and Provision of High-Resolution Panoramic Digital Imagery
The RAS team will utilize RAC vehicles to conduct the pilot and network wide pavement
and asset data collection on the Town’s maintained road network. All collected pavement
and ROW imagery will be provided in appropriate state plane coordinates, while being
collected in a continuous pass at posted roadway speeds. The high-definition panoramic
Ladybug camera will be used to inventory and capture right-of-way (ROW) assets for
extraction of pavement markings, speed humps, traffic signs, and other assets if selected
by the Town. All captured images will be delivered to the Town in .jpeg format and
processed at 15-25ft intervals for the entire survey area. The images will be collected
as a 360-degree right-of-way panorama, including forward, rearward, and
downward pavement viewing images. Each image will be electronically tagged with
location information for plotting within a spatial environment. Traffic control will not be
required since the RAC vehicle will collect all data in motion and is not required to stop or
disrupt traffic during operation. As a value added service, RAS believes that delivery
of ALL Image Views is paramount to Town review and as such all imagery
(including the LCMS downward imagery) will be delivered to the Town of Fountain
Hills at no additional cost.
Sample Imagery of ALL Views Delivered to Town at No Charge
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Detailed Quality Assurance & Quality Control Work Plan
While the 10-mile pilot hosted by Scot Gordon and Zac
Thomason will illustrate the completeness and accuracy of the
RAS data stream. RAS has also developed a detailed 30-page
Data Quality Management Plan (DQMP) to provide our clients
with a systemized method for assuring data is representative of
the conditions present. Included in the DQMP is a description of
condition survey procedures, data collection vehicle and system
calibration/verification, range of accuracy, data checks,
verification by trained engineers, roadway segment
review/verification, and integration into asset management
programs.
All RAS projects include the establishment of a field pilot study that allows the collection,
processing, and review of condition data to ensure data is representative of the
expectations and needs of Town staff. Following this step, corrections to processing
routines are made based on standard construction practices/soil conditions. The focus on
data quality at the initiation of the project saves the Town time/money and provides high-
quality deliverables that can be utilized in practice. We can supply the Town of Fountain
Hills with our published 30-page DQMP at the request of Town Staff. The documents length
and technical nature didn’t make it suitable for inclusion with this proposal submission.
Quality Assurance Step #1 – Network Database Review (Gap Analysis)
While a simple routine in every project, the cornerstone to project initiation is conducting
a complete diagnostic of the roadway network, including a full and thorough assessment
of the Town’s GIS centerline and Lucity inventory database. This will include a review of
the Town’s data requirements (i.e., what information is needed/desired) and subsequent
data gap analysis (what is missing).
RAS will include the following in this initial review:
a. Base inventory information, (i.e., Functional Class, lengths, areas, surface type,
etc.)
b. Historical condition information
c. Status of survey history
d. Construction and maintenance history
e. Review & update of maintenance and rehabilitation treatments and unit costs
f. Review & update of existing pavement deterioration curves
g. Review & update of Lucity analysis operating parameters to ensure the Town is
maximizing the latest updates
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Quality Assurance Step #2 – Mobilization/Calibration/Pilot/Kickoff
At the outset of the project, RAS will work in conjunction with the Town’s Staff to review
the Town’s existing GIS centerline files and legacy Lucity Street Segment Inventory for
use in this project. After an initial review, RAS will conduct a kickoff meeting with Town
staff to discuss the GIS files, deliverable formats, and additional data needed by RAS for
preparation, process for interim review, and project administration. During the kickoff
meeting, team members will also determine a pilot area of approximately 10 miles
for collection and review of all
deliverables by Town Staff, obtain a
collection letter, and determine areas
that are of greatest priority for collection
or that require special timing for
collection due to festivals such as
Fountain Hills Music Festival, Ballet
Under the Stars, Turkey Trot, or other
events.
The importance of the field pilot cannot be understated
as it has become a routine milestone for the RAS Team
on all pavement condition projects. The pilot allows RAS
to collect, process, and review condition data with Town
Staff to ensure accuracy with the data collection and
interpretation protocols. In addition to the Town’s
eventual review of the 10-mile pilot data, the review of
the RAS condition data will be hosted by Senior Pavement Engineer, Scot Gordon,
PE, IAM, and Project Manager, Zac Thomason, in the field, where they will review
site conditions with Town Staff. The importance of this step is to make necessary
corrections to the processing routines that result from local standard construction
practices/soil conditions and to ensure accuracy with the approach.
As a cornerstone to the development of quality data deliverables, Scot Gordon, PE has
performed a pilot data field validation with agency staff on hundreds of pavement
condition surveys. Throughout his career, Scot has worked with various agencies on the
field pilot data validation including but not limited to:
San Antonio, TX
Houston, TX
Durham, NC
Virginia Beach, VA
Chicago MAP, IL
Indianapolis, IN
Fort Worth, TX
Salt Lake City, UT
Corpus Christi, TX
Denver, CO
Albuquerque, NM
Charlotte, NC
“The pilot data field validation was crucial to our
acceptance and buy-in on our pavement quality
assessment. Mr. Gordon explained each condition, the
methods of measurement of the distresses, and how the
PCI score calculations could help us understand the
meaning and relationship of the values to our perceptions
of pavement performance. This personalized process
allowed us to make maintenance decisions from the data
provided with confidence.” Zayne Huff, City of Southlake
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Quality Assurance Step #3 – Subsystem Monitoring In The Field
During the survey, the collection software monitors
the GPS subsystems and alerts the operator if the
GPS feed drops out or if GPS quality is
compromised. It displays the satellite count, which
should normally remain above four (4). If the satellite
count falls below that threshold due to the vehicle
entering a tunnel, driving under a bridge, or driving
in a region with tall buildings, this will be displayed
for the operator. The IMU will provide acceleration-based corrections during this time to
ensure that GPS accuracy is maintained as much as possible. Depending on the grade
of IMU used in the system, even total GPS outages of 1-3 minutes can be tolerated with
almost no degradation in positional accuracy.
The collection software monitors the status of the subsystems that have been installed
and enabled. A summary screen is displayed for the operator which shows representative
data values and images in real-time, along with any warnings or errors being generated
based on real-time diagnostics. As part of standard practice, the operator continuously
monitors the validity of data being reported by the quality monitoring systems.
The RAS team will also review a randomized sample of images to ensure that it complies
with the requirements of the specifications throughout the course of the network matching
and event QC. Upon completion of the network matching, an image report shall be
generated with the total image count compared with that expected for each road. Daily
Progress Reports are produced by uploading sensor, GPS, and event data and matching
against the road network definition. Progress reports include the following, road sections
collected, length discrepancies, and remaining sections to be completed.
Calibration of the laser profiling system includes laser sensor checks and block tests to
ensure the accuracy of the height sensors, accelerometer calibration “bounce tests” to
verify proper functioning of the height sensors and accelerometers, and distance
calibration to ensure accuracy of the DMI. Calibration of the DMI and some accelerometers
occurs during field testing, and each is checked and recalibrated on a regular basis.
RAS has a proven Quality Assurance/Quality Control procedure for all RAC
projects that begins with our Data Quality Management Plan (DQMP). The systems
and data types collected by the RAC vehicle are:
• Vehicle Travel Distance from Distance Measurement Instrument (DMI)
• Vehicle Position from differentially corrected GPS (DGPS)
• Vehicle Orientation (pitch, heading, roll) from the Inertial Measurement Unit (IMU)
• Longitudinal Profile Roughness (IRI)
• Ladybug 5+ 360-degree Images
• Laser Crack Measurement System (LCMS) 2D and 3D Images
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Quality Assurance Step #4 – Automated Crack Analysis & Engineer Review
After data is collected in the field and
uploaded to the office environment, it is
imported using the RAS pavement rating tool
Road TRIPTM (Technical Rating
Intelligence Program). The import process
creates mappings to the data so that users do
not need to keep track of where the data is
stored on central data server(s). At this stage,
the major data processing tasks also occur,
such as generation of right-of-way and pavement image streams; calculation of profile,
roughness, rutting, detection of cracks, lane-markings, man-made objects, and other
distresses. The automated crack analysis detects cracks which are overlaid on the
pavement images and offset to assist with the verification of the detected cracks. During
reporting, the distress cracks are defined by road zone and accumulated according to the
units defined in the client specification. The severity levels are identified based upon the
defined limits (ASTM D6433) and verified for resolution through visual quality control
checks of image files. Where density metrics are required, these are determined using
the length of the interval being reported and the width of road zones included.
An experienced pavement inspector will
perform QC to confirm the distresses
and severity of the pavement condition
data collected by the automated
technology. This manual quality review
is performed, in accordance with the
principles of the ASTM D6433 standard,
using the LCMS pavement images
gathered during collection with the
distresses superimposed and color
coded, such as what can be seen in the
corresponding image. The RAS
approach is truly a combination of objective based laser sensors, powerful
algorithms, artificial intelligence (machine learning), and personal review by a
Professional Engineer.
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Optional Row Asset Data Collection
The panoramic ROW images from the Ladybug 360 camera
system will be provided as an additional database submitted
in a GIS compatible shapefile and/or geodatabase. These
images will be captured for all selected assets within the
Town’s maintained roadways and will include detailed
attributes and conditions for potential assets such as:
pavement markings, pavement striping, speed humps, traffic
signs, and can be expanded to virtually any other asset that
can be identified in the HD 32MP imagery.
With input from Town staff, the following attributes for
pavement markings will be identified: AssetID, X,Y location,
photo image link, type (left/right/straight arrow, only, xing,
bike, lane, merge left/right arrow, slow, etc.), marking color, and physical condition (good,
fair, poor). Additionally for pavement striping typical attributes also include length, width
and lane configurations.
The HD images can then be post-processed using RAS software to collect attributes for
each asset type captured. For example, Traffic signs/supports, which are listed as a
point feature, are commonly captured with the following attributes (the final list of
attributes will be determined
with input from the Town staff):
AssetID, X,Y location, sign type
(MUTCD code), sign text,
photo image link, physical
condition rating (good, fair,
poor), location, support
structure type, sign direction,
and comments.
The RAS asset extraction
system is not limited to these
assets as we can inventory and
extract attributes on nearly any
asset that can be identified in
the images. Other common
roadside features for capture
include sidewalks, pedestrian
curb ramps, curb/gutter, traffic signals, streetlights, fire hydrants, bus stop shelters,
medians, and many others.
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Data Preparation, Delivery, & Import into the Lucity Software
As a strategic business partner of Lucity, the RAS team is commonly tasked with
importing new pavement inspection data into an agency’s production Lucity environment.
The RAS team has a strong working relationship with Jim Muller, CentralSquare Account
Executive, Steve Schultz, CentralSquare Product Manager, and Matt Miner,
CentralSquare Principal Solutions Architect, who are intimately familiar with the Lucity
pavement module and RAS integration routines.
A typical Lucity import happens in two phases as follows:
Phase I: Test Environment – most
agencies operating an enterprise system
such as Lucity have a test environment
specifically set up for vendors to test a
data load prior to moving into production.
During this stage, the RAS team formats
the segment level distress extent and
severity data for import into the Lucity
pavement module software. The data is
loaded as a new inspection such that it
DOES NOT overwrite any legacy data within the software. Old inspections are retained
and simply no longer utilized for budgetary modeling purposes.
Data formats for Lucity users include rolling up the RAS detailed inspection data to match
the Town’s Lucity segmentation and ensuring all data is linked to the appropriate
SegmentID. The distress types are confirmed to be in the correct order and distress
density data (PCI, RI, and optional SI) populated. In addition, the Lucity GIS Manager
will be validated to ensure it retains full synchronization with the implemented Lucity
database. While RAS routinely imports data to Lucity, we find it imperative to begin with
a test environment to fully ensure data integrity.
Phase II: Production Environment – Upon completion of the import to the test
environment, the RAS Team has our Lucity support team review the loaded data to
ensure there are no gaps in the
data structure or format. Upon
acceptance of Lucity, the RAS
team moves the database into
the Town’s production
environment, generally in off-
hours to ensure minimal
downtime for Town Staff and
Services. RAS has the team,
resources, and expertise to
conduct a seamless production load to Lucity.
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RAS Lucity Configuration Workflow
While running the models themselves might seem straight-forward, the RAS approach to
such an analysis involves the following sequences and client engagements during the
process:
Current database review – most issues can be resolved at the initiation of a
project by completing a brief review of the Town’s existing GIS centerlines and
Lucity inventory setup. All RAS projects begin with a review by our Project
Manager, Zac Thomason. Given Mr. Thomason’s familiarity with the Town’s
legacy inventory and Lucity analysis parameter setup, he will discuss the current
inventory and configuration adoption with Town staff. Any recommended changes
to the segmentation or budgetary model configuration will be discussed at this
stage.
Maintenance & Rehabilitation Setup – to ensure the results of the budget model
runs meet the Town’s expectations, Mr. Thomason and Mr. Kramer will discuss
the Town’s current Maintenance and Rehabilitation practices to ensure the Lucity
system is setup to mimic/model real world practices. This includes reviewing
Min/Max PCI, Breakpoint PCI, decision trees for treatments, costs, and reset PCI
values. As a Professional Engineer with extensive pavement experience, Mr.
Kramer is well versed with the application of pavement rehabilitation techniques,
trigger points, real-world impact to PCI, and life cycles. As a part of this process,
RAS will work with the Town to
determine the right treatment
(prescription) at the right time.
RAS can also discuss other
treatments that the Town may or may
not be using, their benefits, their
return on investment, and their
adoption across the Country. The
results of the scenarios would include
investment benefit information
indicating the cost per square foot of
benefit for each maintenance strategy
based on maintenance rehabilitation
costs. This can be reported in a number of ways, but most commonly as the cost
per square foot to increase the PCI by increments of 1 point.
Deterioration Curves – forecasting pavement conditions within Lucity requires a
detailed set of pavement deterioration curves for each roadway traffic
classification, pavement material type, and strength designation. Mr. Gordon,
Senior Pavement Engineer, will review the existing deterioration curves to ensure
they reflect realistic degradation rates in the Town. If alterations to the curves are
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necessary, Scot will lead the update with the team prior to the production data load
into Lucity. Scot Gordon and the RAS team have developed hundreds of
deterioration curves based on collected data. Scot will work with the historical
data from Fountain Hills, along with the collected data from this project, to develop
updated and further refined deterioration curves for each combination of street
classification and pavement surface type, representative of the Arizona climate.
RAS has protocols in place
that preserves historical
collection data and utilizes
past surveys to assist in
modeling through
documenting the change in
conditions between past
surveys and the current
collected data. RAS can make
the comparisons between the
surveys easily viewable for
Town staff to determine if outliers exist. An example of data integration between
collection cycles comes from Scot and the RAS Team’s work with the City of San
Antonio, Texas. Scot provided the City a method to determine the age of each
pavement section and refine the deterioration curves by evaluating the decrease
in PCI per year from historical pavement evaluation data. The delta decrease, or
difference in PCI value per year, along with the range of PCI value of the roadway
provided guides to shape the deterioration curve at each age.
Supersegment Development – the Lucity pavement module runs budgetary
models using a “Supersegment” layer within the application, which is simply
individual segments stitched together to form a logical project or management
section. The benefit of this Supersegment feature within Lucity is that it runs the
budgetary scenario at the project level, producing real-world rehabilitation plans
that are ready for Town review, modification, or acceptance. The RAS team will
also provide recommendations to Town staff for best practices in developing
practically sized Supersegments to
yield model results that can be acted
upon. Typical constraints used when
building Supersegments includes
relative condition, classification, and
an upset limit to prevent projects from
becoming too large. A Microsoft
Access database of the final
configuration, setup, and models will
be provided to the Town.
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Infusing Optimization into the Lucity Analysis
Optimization is a broad-based term that has many different definitions. For most
pavement management systems, optimization is the ability to prioritize a multi-year
rehabilitation plan using several different factors that are important to the Town and based
on sound engineering constraints. For example, RAS commonly configures the Lucity
pavement management system to assign a different set of maintenance and rehabilitation
activities for roadways of different pavement type, traffic, and strength.
With the rehabilitation and maintenance activities set up, an RAS and Lucity analysis
assigns “Criticality” factors to every segment that assist in prioritizing the multi-year plan
and the development of a financially optimized rehabilitation plan. Critical segments are
simply those that are within 2-4 points of falling into the next rehabilitation category.
However, this is only the beginning of an RAS and Lucity Optimized Multi-Year
Plan.
The RAS team also includes a true Financial Optimization Framework (FOF) as a part
of the Lucity analysis. With the critical segments all defined within the analysis, the next
step is to sequence the optimization plan by the “Cost of Deferral”. This financial
optimization sequence allows the
analysis to consider the future costs
of deferring segments and allowing
them to fall into the next more
expensive rehab category. By
calculating the cost of deferral, the
sequence identifies the “Need Year”
of each segment and prioritizes the
highest cost of deferrals while
focusing on selecting critical roads
that are within a few points of dropping into the next category.
Zac Thomason, Project Manager, and Mark Kramer, Assistant Project Manager, are
well versed in the optimization logic within Lucity and actively work with the
CentralSquare development team to ensure peak performance in configuration.
To further enhance upon optimization, Senior Pavement Engineer, Scot Gordon looks
forward to visiting with Town staff on other innovative considerations to pavement
management such as including PCI of curb and gutter in selecting roads for
maintenance; whether or not to deduct for potholes if the Town has a pothole repair
crew; how to get all council districts above a specific PCI threshold; and focused
analysis on top traveled corridors where you are improving the level of service on
the roads receiving the greatest traffic while also analyzing the impacts to the
remainder of the network.
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Lucity Budget Model Development & Final Report Summary
The RAS Team separates itself from our competition through our devotion to the most
critical aspect of the project, which is collaborating with the Town on how to take the
objective condition data and utilize it to make meaningful decisions involving the Town’s
infrastructure. In addition, RAS can supplement a standard analysis with ESRI
Storymap’s or even a Microsoft Power BI Dashbaord.
RAS follows the “AASHTO Transportation Asset Management Guide – A Focus on
Implementation” which provides a framework for organizations to utilize and update the
management of their assets to improve decision-making, monitor performance, and
support integrated decisions in programming projects. The observed distresses and
calculated PCI values will be used within Lucity to rank projects using distress types
indicating load, non-load, and environmental related causes of each distress.
Running budgetary models within a pavement management system requires a deep
understanding of the database structure behind the application. The RAS approach to
budgetary modeling will involve up to 8 pavement management scenarios using different
philosophies, budget levels, and distributions. While RAS will define the scenarios to
be run with Town staff, at a minimum the following questions should be answered
with the scenarios:
How much annual funding is required to maintain existing pavement conditions?
What will the estimated network PCI be over the next 5 years if current funding
levels are maintained?
How much funding will be required to target a specific PCI over the next 5 years?
What will the estimated PCI be in each Council District?
What budget is required to control the growth in backlog?
What are the recommended pavement strategies?
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RAS will also consult with Town staff to develop models utilizing different types of
rehabilitation strategies (worst first, best first, most economic, need year, etc.). RAS
understands that getting buy-in from Town Administrators and Elected Officials means
developing a long-range rehabilitation plan that considers local priorities. The RAS team
will ensure that already approved rehabilitation work is programmed into the budgetary
models for selection during the run. In addition, RAS will consult with Town staff to identity
the total cost (mill, overlay, traffic control, striping, etc.) of each rehabilitation method.
RAS will provide the Town with a final report/executive summary including study
objectives, methodology, road inventory, a summary of current pavement conditions, PCI
values, recommended maintenance needs, street prioritization lists, and probable costs.
In addition, the Town will receive an electronic database consisting of statistical charts,
graphs, summary tables, and area maps illustrating all PCI results, pavement type, overall
road quality, and findings from the pavement evaluation.
The summary report will be provided for review by Town staff and modified based on
comments to produce a final report which will be delivered as a bound report and in
Microsoft Word (.doc and .docx) and Adobe (.pdf) format. Collected data will be formatted
as an ESRI Geodatabase. Additionally, the pavement condition survey data will be
imported into Lucity for use in budget analysis, and repair planning and prioritization.
Council Presentations
The RAS team will provide a public presentation to the Town Council, including data,
charts, and all final summary report data to showcase the results of the pavement
condition survey. Mr. Thomason has extensive experience preparing and presenting
results of pavement and asset conditions assessments, as well as pavement budget
scenarios and maintenance plans to Councils and Commissions as final reports. This is
a standard scope that we provide to all our asset management clients. Zac has worked
with County Commissions or Town Councils with several agencies including Fountain
Hills, AZ; Prescott, AZ; Pasadena, CA; Long Beach, CA; Flower Mound, TX; Steamboat
Springs, CO; and Minnehaha County, SD to name a few.
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Approach to Contract Management
RAS utilizes the Project Management Body of
Knowledge (7th edition) to define and adhere to the
principles of planning. This guide provides a
breakdown of general management including
methods for planning, organizing, staffing,
executing, and controlling the operations of an
organization. RAS emulates organizational
strategies established by the guide to develop clear
lines of communication for the successful
completion of the Town’s goals.
Perspective on Partnering and Customer Service
RAS’ philosophy on project ownership is simple and centered on the development of a
collaborative partnership with the Town’s Staff. While any vendor can collect some form
of condition data and move on to the next project within a few weeks, RAS prides itself
on collaboration with our clients to develop
best in class pavement management programs
that result in a long-term relationship between
RAS and the Town. Our relentless dedication to
client satisfaction has resulted in repeat projects
from municipalities.
By conducting a collaborative field pilot validation
study (further described on page 15 of this proposal
submission), RAS is acquainted with the Town’s
goals for the collection project. The transparency of
goals enables RAS to provide data and pavement
management system integration that works for the
Town’s needs.
Scheduling and Staffing
RAS retains two Professional Engineers with over 50 years of combined experience. In
addition, RAS’ Project Manager and Principal have been leading ASTM D6433 pavement
condition projects for a combined 30 years. RAS has four Pavement Data Collection teams
and will designate a minimum of one RAC vehicle (2 team members) for project completion
within the allotted schedule. The Pavement Data Collection team will collect condition data
seven days a week to account for natural delays caused by weather. Collection protocols
ensure that the schedule will remain on time and within budget.
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Alternate Approach: RAS Data Viewer & Videologer
If the Town desires web-hosted condition photos, as an alternative additive service, RAS
can provide the Town with the RAS Video Logger which is a web hosted full-service image
viewer that allows our clients to select a section of roadway from the GIS-based map to
visually display the inventory elements and the results of their survey. The viewer is
hosted on a reliable web platform such as Amazon Web Services (AWS). The RAS Video
Logger allows the Town to load pavement and ROW imagery for a specific location within
the Town and sequentially travel down the roadway. If needed within the video logger,
the Town can load high-resolution images to provide more detailed site investigation while
displaying PCI, IRI, and Rut index data for the selected section. In addition, the Video
Logger houses the Ladybug Panoramic ROW imagery, LCMS downward pavement
imagery, PCI scores, and right of way inventories.
Following the Pavement Condition Assessment, all LCMS-2 camera imagery will be
loaded to the videologger with each image resulting in 1 mm-pixel resolution and
horizontal resolution of 4,000 pixels. The benefit of having the LCMS imagery on the
same platform as the Ladybug imagery is the ability to use the forward facing
camera to see what a typical driver would see from a windshield while comparing
it against the downward LCMS laser array that focuses only on the pavement
surface itself.
The imagery captured from the LCMS-2 camera will display various pavement distresses
for asphalt concrete including cracking (alligator, block, edge, longitudinal, transverse,
joint reflection), patching and potholes (patching and utility cut patching, potholes),
surface deformation (rutting, shoving, depressions, bumps and signs, corrugation),
surface defects (bleeding, raveling, weathering), and miscellaneous distresses (railroad
crossing).
Project
Schedule
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Milestones and Deliverable Schedule
One way RAS optimizes its field data capture is by collecting pavement condition data 7
days a week, which allows our team to remain ahead of schedule when events such as
storms or other weather-related events do occur. RAS anticipates utilizing one RAC
vehicle as the field survey will take approximately 1 to 2 weeks depending on weather.
RAS will prepare and monitor the locations of large-scale events and festivals like
Fountain Hills Music Festival, Ballet Under the Stars, Turkey Trot, or other events to avoid
high congestion periods and closed roads. Our knowledge of events, festivals, and
regular congestion periods allows the RAC vehicle to efficiently collect data that saves
the Town time and money. The RAS management team has an outstanding record of
completing projects similar in size and scale on time and within budget.
The schedule presented below has been developed around a strategic objective of
completing the roadway data collection effort, field pilot review, PCI processing, Lucity
load, Lucity configuration, budgetary modeling, and final report within a five and a half
month timeline to accelerate the Town’s desired schedule. Should the Town add
additional right of way asset inventories to the scope of work, the inventory would
be developed concurrently with the pavement condition data and within the
existing schedule.
Anticipated Project Milestone:
Notice-to-Proceed………………………10/10/2022
Kick-Off Meeting………………………..10/17/2022 – 10/21/2022
Phase I Report………………………….02/27/2023– 03/10/2023
Phase I Council Presentation…………03/27/2023 – 03/31/2023
Phase II Lucity Implementation……….02/27/2023 – 03/10/2023
Project Completion……………………..03/31/2023
The anticipated project milestones are dependent upon receipt of the notice to proceed
and Town purchase of the Lucity software for completion of Phase II. RAS can still
maintain the Phase I report schedule if the purchase and install of the Lucity software is
delayed. We can maintain this schedule as RAS retains Lucity licenses for in-house
analysis purposes.
Task Days
PROJECT INITIATION
Project Initiation, Kick-Off, & Centerline Identification 12
Field Mapping Development, Segmentation Review, & Routing Setup 51
Pavement Width Verificaiton & Measurement 39
Roadway Asset Collection (RAC) Vehicle Mobilization/Calibration 3
RAC Pilot Survey Area - 10+ Miles 3
RAC Pavement Distress & Imagery Collection 14
DATA MANAGEMENT
Pavement Evaluation, AI Processing, & QC 36
Pilot Data Review with Town Staff 1
HD Digital Image Processing & Delivery 42
RAS & City Review of Final Data (Prior to Lucity Load) 24
Lucity Distress Data Import & Load 30
Lucity Analysis Configuration, Review Budgetary Modeling, & Multi-Year Plan 30
Final Report & Condition Summary 30
Professional Services/GIS Database Work
Field Work
Extraction/Evaluation Work
QA/QC Work
Final Deliverable
651 2 3 4
Months
Pricing
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Pricing Proposal
RAS team members have managed/provided field data collection, performed QA/QC, and
developed pavement management plans on numerous similar projects to the scope of
services requested by the Town. RAS is a financially secure limited liability company that
practices strong internal controls, conservative business practices, and a commitment to
continued financial growth. RAS is registered to do business in Arizona by the Arizona
Corporation Commission (#23412705).
The RAS fee structure for this assignment can be found below with itemized tasks to
illustrate the full scope of this project. The RAC vehicle will survey the arterial and
collector roadways in two directions while single pass testing the residential roadways to
maintain the inspection sample philosophy adopted on legacy surveys. The resulting
survey mileage is approximately 203 survey miles.