HomeMy WebLinkAboutE2156 CityofBozeman_ERI_Rev1
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
1. FIRM BACKGROUND
1.1 ORGANIZATION
a. ERES International, Inc. d/b/a Engineering & Research International, Inc. (ERI)
1401 Regency Drive East, Savoy, IL 61874
Tel: (217) 356-5945, Fax: (217) 356-6347
Website: www.erikuab.com
b. Date Established: 23rd June, 1982
Business Type: Corporation, Incorporated in the State of Illinois
Professional Registration: Profession Engineering Corporation; License No. 184.001343
c. ERI is a professional civil engineering consulting firm specialized in the fields of pavement engineering,
geotechnical engineering and material testing services. ERI offers a wide range of pavement engineering
consulting services, including manual and automated pavement condition surveys, non-destructive pavement
deflection testing, pavement profiling and ground penetrating radar testing and analysis services. ERI provides
its services primarily out of Savoy, Illinois office.
ERI’s staff consists of 16 engineers, technicians, and administrative staff focused on providing our clients state-
of–the practice capabilities and innovative solutions by exceptional performance and demonstrated work ethics.
On this project, our engineers specialized in pavements will oversee both process and results, provide training,
assist in the development of the pavement management parameters, and help answer the City’s pavement-
related questions.
d. Name of Contact Person: Abbas A Butt, Ph.D., P.E., President; Email: eri@erikuab.com
1.2 SPECIALIZED QUALIFICATIONS & UNIQUE CAPABILITIES
ERES International Inc. DBA Engineering and Research International, Inc. (ERI) is a leader in the
development and implementation of Pavement Management Systems (PMS). ERI has been providing
pavement management services, pavement engineering
& research services, and pavement performance data
collection services since 1982, with particular emphasis
on road/asset condition and attribute data collection using
GPS and digital imaging technology. Our pavement
management implementations, most of which involved
data collection and data analysis, have been completed
for highway/airport authorities, and/or public works
departments and State, Municipal and County agencies.
ERI continues to offer ongoing data collection services
to these clients by providing updates to the pavement
management system. ERI offers a complete range of
pavement related services in the following areas:
● Airports, Highways, and Roadways Projects By ERI
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Pavement Asset Management Systems
Pavement Design and Rehabilitation
Automated Distress Survey
Nondestructive Deflection Testing (NDT)
Ground Penetrating Radar (GPR)
Pavement Roughness Testing & Profiling
Geotechnical Engineering
Pavement Analysis Software
Materials Testing
Geographic Information System (GIS)
Education and Training
Falling Weight Deflectometer Sales and Service
Skid Testing
Abbas A. Butt, Ph.D., P.E., (Project Manager) has over 30 years of experience in pavement analysis, pavement
design, pavement rehabilitation, pavement management, FWD testing, GPR testing, automated distress survey,
materials testing, geotechnical investigation, highway design, and forensic investigation. Dr. Butt's services were
utilized at the U.S. Army Construction Engineering Research Laboratory (CERL) for the research and
development of the MicroPAVERTM Pavement Management System (PMS).
ERI has consistently demonstrated our commitment to data integrity referencing and quality on our past data
collection projects for all our clients. Data is provided only after our internal Quality Management Plan
procedures have confirmed the suitability of the data. All post-processing, analysis, QA/QC, and reporting
operations will be accomplished using ERI’s experienced staff and automated roadway condition assessment tools.
ERI provides the depth and breadth of resources to complete any project task for the City of Bozeman. We have
brought our “best in class” engineers who have experience in pavement asset management and in the use innovative
techniques for road/asset condition and attribute data collection using state-of-the-art technology. As a specialized
and leading pavement engineering firm in the nation, we also have access to additional specialty services on an
as needed basis to address any conceivable project need.
1.4 SPECIALIZED PAVEMENT TESTING & EVALUATION EQUIPMENT
EQUIPMENT PICTURE SPECIFICATIONS
Automated
Pavement Data
Collection
Vehicle System
(APDCVS)
Total Units = 2
3D Laser Crack Measurement System (LCMS-2)
Ladybug 360o Camera (1)
GoCator Line Lasers (2) - for Longitudinal and
Transverse Profile Measurements
Applanix POS LV 420E (1) - Inertial Measurement
Unit (IMU)
32 kHz Spot Laser (1) (0.5 mm spot size as per
ASTM E1845)
High Resolution Cameras (2) - for Forward and Sign
Images
Laser Road Imaging System (2) (LRIS) - for
downward pavement images
5 Laser Profiler - for Longitudinal and Transverse
Profile Measurements
GPS and DMI
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Falling Weight
Deflectometer
(FWD)
Total Units = 6
Dynamic Load - 3,000 lb-force to 33,000 lb-force
Nine deflection transducers
Distance Measuring Instrument (DMI)
GPS
Can be integrated with GPR to conduct both FWD
and GPR testing simultaneously
Ground
Penetrating
Radar (GPR)
Testing
Total Units = 3
SIR-20/ SIR-30 Control Units
2.0 GHz air-coupled (horn) antenna
900 MHz and 400MHz ground coupled antennas
Up to 12 scans/foot may be collected
Depth of approximately 18 feet
GPS
Subsurface utility Detection System using GPR
Friction Tester
Total Units = 2
Two test wheels (Ribbed and Smooth)
Distance Measuring Instrument (DMI)
GPS
Water tank (350 gal)
Geotechnical
Investigation
Total Units = 3
Drilling Rigs
DCP Testing
Moisture
Atterberg Limits
Density Testing
Other Lab
1.5 SPECIALIZED EXPERIENCE
ERI’s project team possesses extensive experience in conducting pavement condition inspections utilizing high
resolution video processing equipment, distress identification using the ASTM standard D6433, GIS based
pavement databases, MicroPAVERTM, GASB reporting for pavement infrastructure and pavement analysis using
NDT methods such as FWD, GPR and pavement coring.
1.5.1 Pavement Condition Inspections utilizing Automated Data Collection Vehicles
ERI has performed pavement condition surveys using high‐resolution video processing equipment since 1989,
beginning with PASCO surveys at the O’Hare International Airport. Our foray into digital data collection began in
2010 with the purchase of our first International Cybernetics Corporation (ICC) ADSV. We now collect thousands
of miles of pavement and asset inventory and condition data every year.
ERI’s top of the line automated distress data collection system combined with the advanced user-friendly software
tools that utilize the automated crack analysis software/techniques to reduce subjective analysis of manual image
review will provide the City the best alternative to traditional manual surveys. The software installed on the
workstation allow experienced PCI inspectors to “draw” lines and areas of identified distresses (longitudinal and
transverse cracking, alligator cracking, etc.), and the software will record the lengths, areas, and positions to come
up with the exact PCI distress takeoff for an identified sample unit. Rating technicians conduct this work in the
safety of the office and this technique does not impact the highway users and traveling public. ERI has six (6) such
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Imaging Workstation setups which are
network ready in their ERI office in Savoy,
IL. The digital format of the data allows for
expedient, accurate upload of the
information into MicroPAVERTM.
In addition to surface distress identification,
ERI’s automated system collects additional
pavement attributes such as International
Roughness Index (IRI), rutting and faulting.
The APDCVS is able to collect and report
longitudinal profile and International
Roughness Index (IRI) with the precision
and bias of an ASTM E950 Class 1 profiler
across a 4m lane width.
1.5.2 Pavement Management System Implementation
Since 1982, ERI has implemented Pavement Management Systems for many clients. ERI personnel were
responsible for developing pavement management systems, evaluating the causes of pavement failures, and
developing rehabilitation recommendations for various airport and roadway pavement networks of
city/town/municipal and public works. In addition, our specialized expertise in pavement engineering, and various
pavement analysis and design programs such as MEPDG provides us as a thorough understanding of pavement
performance and effects of various pavement treatment options.
ERI’s staff was responsible for overall management of the projects, responsible for records review, site evaluation,
data analysis and recommending potential repair, determination of remaining life, responsible for a comprehensive
review of the pavement management program and comparison with industry practices, providing guidance to the
clients on pavement management practices and use of pavement preservation techniques, help the agencies identify
the short- and long-term initiatives needed to improve practices for managing pavements, for the quality assurance
of the collected data and the project coordination.
1.5.3 Pavement Management System Software/s Experience
Based on our research and experience, the three most common PMS
software programs used are; MicroPAVERTM, StreetSaver, and
Cartegraph. The first two are public domain programs, developed
by public agencies (the US Army Corps of Engineers and
Metropolitan Transportation Commission (MTC) respectively).
The latter is a proprietary system.
These three programs have the following common elements that are
found in a PMS software:
An inventory of all pavements with basic information such
as road name, limits, lengths, widths, areas, functional
classifications, surface type and age
Pavement condition data, i.e. pavement distresses and condition index (0-100 scale) in accordance with
ASTM D6433 standard
The use of deduct values in calculating a pavement condition index
Maintenance treatments and unit costs
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
ERI has developed GASB 34 reports for some of our PMS projects. These reports can be prepared either by
Depreciation Method or by Modified Approach. ERI developed the GASB 34 reports based on MicroPAVERTM
database.
2. PROJECT OVERVIEW
The City of Bozeman is seeking the technical services of a professional consultant firm to perform Pavement
Condition Assessment of the City’s roadway network which consists of approximately 242 centerline miles of
roadways. The inspection data collected from the City roadway system will be analyzed to calculate the Pavement
Condition Index (PCI) for each roadway segment. ERI proposes to use an automated field pavement condition data
collection and semi-automated distress identification approach to meet the project requirements. ERI’s considerable
depth of knowledge of automated pavement data collection, data processing, inventory verification and data
integration will aid the City in the creation of a comprehensive pavement program to support current and future
pavement preservation needs. The current study will examine the overall condition of the City’s roadway network
and recommend the options for improving the current network-level Pavement Condition Index (PCI).
3. PROJECT APPROACH
The ultimate goal is to provide the City with an accurate and reliable current pavement condition data that City can
utilize to predict financial needs, and identify and prioritize pavement maintenance and rehabilitation (M&R)
projects as an integral part of a multi-year program for preservation, maintenance and improvement of City
roadways. The overall project scope of work is summarized below:
Co-ordinate the City’s staff to discuss the project approach and the work schedule presented in the
proposal.
Obtain all the background data related to the City’s roadways included under the scope of this study
including City’s historic condition data, GIS data, pavement design/ construction/ maintenance history
data, and traffic counts (if available), etc.
Review existing pavement network and segmentation, recommend revisions, if necessary.
Conduct automated distress survey for approximately 242 centerline miles of City’s roadway network
and perform the analysis which includes identifying and quantifying the distresses from the pavement
images
Load the inspection data into MicroPAVER PMS software and calculate PCI
Review the database for errors and correct them as necessary
Using the City’s inventory data, current condition data, and work history data generate the following:
o Develop condition reports with current ratings for all pavements City-wide and produce
mapping of pavement condition
o Develop a candidate listing and mapping of segments and rehabilitation
recommendations
Provide the results from the evaluation in a format that can be integrated with the City’s GIS system
Upload the data to existing MicroPAVER database
Communicate regularly with the City’s project manager using telephone, e-mail, and written
correspondence as required throughout the term of the contract
To achieve the objectives of this study, ERI has developed a comprehensive project approach for the City. This
project approach will be modified with the help of City staff before the start of the project. The project approach
includes the following tasks:
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Task 1: Project Development
Upon successful award of this project, ERI will schedule a project initialization (kick-off) meeting (web-based
meeting). The purpose of the meeting is for ERI to interact with City staff to review available data and discuss their
concerns. The kick-off meeting will involve both the City staff and ERI project manager. The meeting is expected
to be completed within two weeks from the start date of the project and will cover both the usual administration
aspects of the project (e.g., introductions, communications, reports and deliverables) as well as some technical
activities.
As part of the kick-off meeting, ERI typically reviews the existing data and information, requests copies of the
database and information, clarifications on distress definitions to be collected as per the City’s requirements. The
project scope and the work plan to complete the various project tasks will be discussed with the City’s project
manager for approval. The project development task will also include the following activities:
Project management and coordination
Regular communications with the City’s project manager
Submitting monthly progress reports
Task 2: Background Data Collection and Records Review
City’s existing road inventory and road centerline shapefiles
Pavement network identification encompasses the division of all pavement components into discrete management
units. The existing segmentation will be used to identify the road segments for field data collection. Therefore, it
is very important that the City’s current road inventory database and centerline shapefile is up-to-date. This includes
changes to existing road alignments due to recent developments, changes to road functional classification (rank),
and any known changes to the surface types and last construction dates. Also, any added new roads to the City’s
jurisdiction should be identified at this stage prior to the field data collection.
A considerable amount of basic pavement data is incorporated in the development of short and long-range
maintenance and rehabilitation programs. The following additional background data would be collected with
the help of City staff. If the required inventory data is not readily available, ERI will work with the City in
obtaining this information. After a thorough review of the data if any of the following additional data is
required, it will be obtained from the City:
o City’s existing PAVER database and GIS shapefiles
o City’s current maintenance and rehabilitation design policies
o Construction and maintenance history data for the City roads
o Traffic count data for the City road network
o City’s previous reports, memorandums and other records related to this project
Review of Construction and Maintenance History
The last construction date is the date when the pavement was constructed new or when the pavement was
reconstructed or the pavement received a thicker structural overlay. The maintenance activities such as placing of
slurry seal, crack sealing, micro surfacing, and pothole repair or patching etc., do not change the last construction
date. The pavement surface type and last construction date for select sections will be reviewed and compared with
the condition inspection data collected during this study. Identify the segments in the City’s network for which the
last construction date is not available and provide recommendations.
The data collected under task will be reviewed by experienced pavement engineers. ERI will review the City’s
existing background data and will identify any inconsistencies in the data or any missing data. If the required
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
inventory data is not readily available ERI will work with the City in obtaining this information. After a thorough
review of the data if any additional data required will be obtained from the City.
Task 3: Pavement Condition Assessment
The purpose of this project is to collect pavement condition data to enable the City to make informed programming
decisions and advance pavement preservation techniques. Accordingly, Engineering and Research International,
Inc. (ERI) has developed this proposal to provide a value-focused deliverable that aims to provide the City the data
they need and put them on the fast track to optimizing their networks through pavement management and
preservation.
ERI will collect comprehensive, automated pavement data with a fully integrated automated imaging system that
includes IRI measurement, 3D distress mapping, video imagery, and Ground Penetrating Radar (GPR) data. ERI
data collection vehicle is equipped with an inertial profiler, second-generation Laser Crack Measurement System
(LCMS-2), Point Gray Ladybug 5+ 30MP 360 camera, and Applanix POS/LV with DGPS. This data will be
collected on approximately 242 centerline miles of City maintained roads.
A. Project Start-up
In order to properly schedule field surveys, ERI will, at the initialization meeting, request a list of all known
construction projects and other City events that may impact or be impacted by survey activities. This information,
along with local weather, will be utilized to coordinate the field program logistics to maximize data collection
efficiency and minimize impact to the
travelling public.
All ERI personnel undergo safety
training appropriate to the job site and
the work being performed. Specifically,
all drivers and operators of ERI’s data
collection vehicles undergo specific
training related to the safe operation of
these vehicles in both rural and urban
environments. The survey vehicle will
conduct all surveys at the posted speeds
and in conformance with all applicable
traffic laws. Operator survey setup,
route planning, office communication,
data transfer, and archive operations will
be conducted at the offsite location. All
vehicle-based data collection activities
will be conducted by two person crews -
an approach that maximizes safety and data quality by maximizing vehicle driver concentration and minimizing
crew fatigue. In this configuration, the driver of the survey vehicle is responsible for and focused on driving and
navigation, while the operator is responsible for all other data collection activities.
B. Data Collection Overview
The objective of the data collection is the accurate capture of the current pavement condition of the City roadway
system. A successful data collection program requires:
Safe Practices - maintaining a safe environment while collecting data in a timely manner with minimal impact
to traffic.
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Understanding of the Data Requirements - what needs to be collected and how it needs to be recorded to
meet and exceed the City’s requirements.
Proven Data Quality Processes and Tools – Quality Assurance (QA) must be done during the data collection,
processing and analysis, and reporting phases.
Accurate Referencing - a key issue on any pavement data collection project to allow future data comparisons.
Downward Pavement Imagery
The technology that we are proposing for the City’s network level pavement condition assessment is Laser Crack
Measurement System (LCMSTM-2) which is the top of line ultimate single-pass 3D sensor to automatically
measure, detect and quantify all key functional parameters of pavement in a single pass, including: cracking, rutting,
faulting, cross-slope and grade, macro texture, potholes, shoving, raveling, patching, lane widths, and roughness.
Using LCMS-2 a complete 1mm resolution automated pavement condition survey can be completed day or night at
60+ mph and able to capture and report profile and IRI at the precision and bias of an ASTM E950 Class 1 profiler
across the entire 4 m lane width. To provide full width pavement condition analysis using LCMS-2 technology,
ERI will drive the state-of-the-art vehicle multiple passes (one pass in each lane and in each direction). This
inventory methodology provides entire coverage of road network and most accurate and sufficient data to conduct
a network-level analysis for prioritizing pavement maintenance and rehabilitation projects. As a value-added
service, ERI will use the Ground Penetrating Radar (GPR) equipment integrated with our data collection vehicle
to collect the GPR scans along the City’s road network at no additional cost to the City. However, the data will
not be processed for pavement layer thickness determination as part of this project. The data will remain stored
with ERI.
Right-of-Way (ROW) Imagery
In addition to collecting detailed pavement-specific attributes, ERI has the capability to leverage the roadway
collected data to perform a full inventory of a number of roadside assets. Roadway 360-degree panoramic imagery
can be used to provide highly-accurate relative measurements of visible roadside characteristics, which include
guardrail, signs, sign assemblies, signals, barriers, pavement markings, rumble strips, shoulders, curb ramps,
lighting, etc.
The technology that we are proposing for
collecting high resolution imagery of
Right-Of-Way with geo referenced images
is Ladybug5+ 360o Spherical Imaging
System. This imaging system is fully
integrated into our data acquisition sub-
systems. Therefore, all image data is fully
synchronized and referenced with all other
collected roadway and spatial reference
data. ERI’s 360˚panoramic imaging
system can acquire full frame panoramic
images (5400x2700 pixel resolution) at
any programmed quality factor, producing
images ranging in size from 500 kB to 8 MB at intervals as close as 25 feet at 55 mph. The panoramic imaging
system is comprised of an optically aligned and position synchronized six aperture progressive scan color CCD
camera system. Using our processing software, these images can be further resampled to desired views and to any
required deliverable resolution.
C. Data Processing
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PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
Every Pavement Management System (PMS) requires accurate and consistent data on the functional condition of
roads to deliver valid recommendations. The data will be collected within specified timelines, match the City’s
condition rating protocol, be tied to the City’s road network, and meet exacting quality standards.
Once the data is delivered to ERI office in Savoy, it will be uploaded onto our processing servers. The data reduction
process will include:
Linear and spatial referencing and validation
Correction of any start/end limits according to supplied data collection master lists and supplied shape
files
Process the pavement images using the automated crack detection software
Further Process roadway distress information using ASTM D6433
Classify and create tables of distress information
Process Road Profile Measurements
Postprocess longitudinal and transverse profile data for IRI, faulting and rut information
Load the pavement inspection data including IRI into PAVER database
Utilize distress data to calculate an overall PCI for the segments surveyed
Map the Pavement Condition data (distresses and PCI) to City street segments and submit the data in
Geodatabase/shapefile format
The LCMS-2 data collection is collected continuously on all selected City street assets. Pavement roughness
information, such as international roughness index (IRI), will be calculated at specific intervals, with linear
segmentation aligning with the City’s GIS roadway network. In addition to collecting detailed pavement-specific
attributes, ERI has the capability to leverage the roadway collected data to perform a full inventory of a number of
roadside assets. Roadway 360-degree panoramic imagery can be used to provide highly-accurate relative
measurements of visible roadside characteristics, which include guardrail, signs, sign assemblies, signals, barriers,
pavement markings, rumble strips, shoulders, curb ramps, lighting, etc.
ERI’s top of the line ICC Connect software that utilize the automated crack analysis software/techniques will reduce
subjective analysis of manual image review. Therefore, it provides the City the best alternative to traditional manual
surveys. The software will record the lengths, areas, and positions of distresses.
Our post processing software (ICC Connect) uses a spatially-enabled central repository to manage the pavement
condition data collected in the field. All
collected data is synchronized and made
accessible through easy-to-understand
views, unlocking its potential so that users
have confidence in the processing results
and analytical decisions they make.
Combined with a comprehensive set of
data reporting tools, users no longer have
to manipulate and transform data by
building a complex sequence of database
queries and scripts, thereby minimizing
the chances for human error to occur.
After data is collected in the field and
uploaded to the office environment, it is imported using ICC Connect. The import process creates mappings to the
data so that users do not need to keep track of where the data is stored on the server(s). At this stage, the major data
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processing tasks also occur, such as generation of right-of-way and pavement image streams; calculation of profile,
roughness, rutting, texture, cross-slope, grade, and curvature; detection of cracks, lane-markings, man-made objects,
and other distresses. Once completed, the data can be checked for quality, with changes made and saved, some of
which may trigger additional reprocessing of the original data. Collected data can be matched to one or multiple
road networks ensuring that data is reported accurately against the network which is critical in ensuring consistency
of reported data from year to year.
Once image processing and pavement condition metrics computation is complete, ERI will integrate the pavement
condition data into the most current PAVERTM database. Our team has developed efficient post-processing
procedures to translate this highly-detailed data into useable information products, and to load into the PAVER
software. This process is performed on a network-level, providing reliable and consistent results that will be
configured based on the specific project needs and local pavement conditions. Our experienced team has built and
continues to improve upon our streamlined data processing and project delivery system with focus on innovation,
quality and efficiency. PAVERTM software provides robust functionality including industry standard attributes,
libraries, and condition assessment data compliant with ASTM-6433-18.
D. Data Quality Management Plan
The ERI team has broad experience with network- and project-level data collection and analysis. The most
important requirement is to measure the actual condition of the road network correctly. High speed equipment can
drive many miles quickly, but this capability is useless if the results cannot be trusted by the City. ERI team will
maintain the equipment certifications and calibrations during the duration of the project. The consultant should have
a set schedule to validate that the equipment is still meeting certification targets on a set of control segments. A data
quality management plan will be prepared and submitted prior to data collection.
ERI has extensive and proven experience with roadway data collection and processing; but we stress that data
collection is only part of the formula to success. The other part is a comprehensive and thorough quality control
process to confirm that the collected and processed data is of the highest quality possible. ERI believes in a four
(4) phase approach to pavement data collection quality control. These steps include:
High quality data collection – All data collection activities will be conducted only after daily equipment
verification and calibration operations are successfully completed and only in weather conditions suitable
to produce optimum quality roadway condition data, video imagery, IRI, and rut measurements. All survey
activities will be halted in cases where the pavement surface accumulates any standing water.
Visual inspection of the collected images – All images (collected using the APDCVS) are geo referenced.
ERI utilizes a comprehensive field-based quality assessment approach which allows corrective action to be
taken while the field crew and vehicle are still in the area if data quality issues are identified (sensor errors,
substandard, or missing data). Deficient field data not detected until the post-processing or reporting phases
introduces the potential for sub-standard client deliverables, which is not acceptable.
Network-wide quality control – As part of ERI’s post-processing effort, data collected from the APDCVS
is loaded into a single Structured Query Language (SQL) database through ICC Connect application. As
such, the ERI team can perform network level analysis and the pavement distress data can be delivered in
the format, or rolled up and summarized to City’s defined pavement segments.
Re-inspection of the pavement distress information – A critical aspect of the quality control process includes
verification of the pavement distresses identified by the automated and semi- automated/manual procedures.
Conditions are measured in a consistent manner. Pavement condition assessment through visual assessment
requires a trained eye and many years of experience to yield consistent and proper results The ERI staff
includes experienced pavement engineers that can confirm pavement conditions as collected through the
automated process. Survey data will be backed up and analyzed daily using ERI’s QA procedures to ensure
complete data quality.
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PROPOSAL FOR
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Task 4: Detailed comparison of current pavement conditions with City’s historical pavement condition
information, construction and maintenance history, etc. and recommendations for necessary changes.
Review of Historical Pavement Condition
Review the distress rating for 10% of randomly selected sections
✓ Review all sections with a PCI score of 100 – indicates sections that may have been skipped during the
data processing phase or verify if the pavement was recently overlayed and/or reconstructed
✓ Identify and Review all sections with no PCI score – indicates either that a section was missed or could
not be tested
✓ Review distress types recorded for asphalt and concrete pavements to ensure they are consistent with the
ASTM specification. Particularly, review how the PCC slabs (longer than 30 feet) were rated, if
applicable
✓ Review of sample areas/sizes used in the PCI calculation – ensures that PCI calculation is performed
correctly
✓ Ensure that mapped PCI scores are displaying on the correct section with the correct score – makes sure
no data transfer error happens when transferring to PMS database.
Review of Construction and Maintenance History
The last construction date is the date when the pavement was constructed new or when the pavement was
reconstructed or the pavement received a thicker structural overlay. The maintenance activities such as placing of
slurry seal, crack sealing, micro surfacing, and pothole repair or patching etc., do not change the last construction
date. The pavement surface type and last construction date for select sections will be reviewed by the review of
As-built drawings (if available) and compare with the 2020 condition inspection data. Identify the segments in the
City’s network for which the last construction date is not available and provide recommendations.
Detailed comparison of current pavement Condition with previous inspection from 2013
Upon quality review of the historic pavement condition data and the reliability of the data is established, ERI will
compare the current inspections with last inspection and identify any discrepancies (if found) and provide
recommendations on the update the existing pavement performance curves and street maintenance program policies.
Task 5: Update Existing MicroPAVERTM Database
ERI will obtain the latest version of MicroPAVER™ software and create a new and/or update MicroPAVERTM
database with the inventory data, historic conditions and current inspection data. The pavement distress survey data
processed manually in the office from the digital images collected from the field will be verified for proper section
identification number, distress type, distress severity level and distress quantity. After a thorough review of the
distress survey data the final uniform pavement sections along with the pavement surface distress data collected for
each pavement section will be entered into the MicroPAVER™ database. The pavement condition data collected
for the City of Bozeman will be delivered in a format that is compatible with City’s GIS centerline system.
Task 6: Decision Tree and Policy for Maintenance and Rehabilitation Treatments
The Technology adopted should address current and long-term pavement management goals so that the City can
confirm the best pavement management strategy based on the PCI value ranges and specific distress type and
severity level. ERI will work with the Jurisdictions to customize the software for the specific practice and
procedures currently in use. The customization will reflect the City’s road repair and maintenance program’s
policies and practices. This will include the recommendation and selection of appropriate treatments such as
reconstruction, reclamation, hot-in-place paving, mill and overlays, overlays, micro surfacing, crack seals, or other
methods that are appropriate for the City. Unit costs from most recent paving and crack sealing projects will be
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collected from the City. Additionally, software will prioritize repair projects in the Jurisdiction or a specific area
of the Jurisdiction based on PCI, traffic flow, life-cycle benefit to cost analysis, available budget, and management
goals. Our comprehensive PMS configuration will include but not limited to the following:
Pavement maintenance and pavement preservation policies that address localized preventive/preservation,
localized safety, and global preventive/preservation M&R requirements will be developed
Knowledge about the historic and future condition of the pavement is required for inspection scheduling,
life cycle costing, benefit analysis, and budget optimization. Individual pavement condition prediction
models for each surface type will be developed based on the previous (if available) and current PCI and the
pavement current construction history data
The relationships between PCI vs. localized preventive maintenance cost and PCI vs. M&R cost will be
developed based on the local M&R cost data for each zone within the City road network. These
relationships and M&R decision trees will also be developed as part of this task.
Task 7: Budgetary Analysis and Reports
Based on the PCI data, pavement condition prediction models, M&R policies and M&R Cost vs PCI relationships,
ERI will prepare budget needs and funding scenario analysis and reporting templates for the City, including at
minimum the following scenarios that will be investigated in consultation with the City’s staff: Keep funding current
level; Add moderate funding relative to current levels; Invest sufficient funds to meet potential performance targets;
No funding restraints/eliminate backlog. M&R program will also include analysis and descriptions of the effects of
several different budget scenarios on the total network, including but not limited to what funding would be needed
to bring the system PCI to a set target PCI in 5 years, 10 years, 20 years, and to run fixed budgets determined by
the City.
Task 8: Pavement Management System Software Training
Training plays a crucial role in system adoption and acceptance, and users that do not fully understand the
functionality and capability of a system will not be able to fully utilize it to their advantage. For the City of
Bozeman, Dr. Abbas Butt will provide onsite training on the implemented pavement and asset data collection as
well as utilizing it in the PMS system for staff that will be responsible for using and maintaining the system. A
training session will be scheduled after the system implementation and configuration are put in place. A one-day
onsite training session covering topics including but not limited to field inspection and inventory using ASTM
standards, data maintenance, and on how to use the PMS tool to Support City’s fiscal year planning process,
Estimate cost to meet identified targets, Estimate the impact of identifying funding by even specifying an inflation
percentage and Compare scenarios to help with justification of funds.
Task 9: Final Report and Presentation to City Council
ERI will prepare the final report to summarize the condition assessment methodology, current pavement conditions,
findings from the review of City’s existing inventory and detailed comparison with historic inspection data. ERI will
assist in the preparation and providing a final presentation depending on the needs of the City, Steering Committee
and city/county staff via in person or by web-based video conference.
4.1 ADDITIONAL SERVICES
Task 10: Right-of-Way Asset Inventory (Value-Added Services)
Page 14
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
ERI will utilize the 360o Right-of-Way (ROW) images for asset extraction and inventory. ERI will utilize Trident-
3D Analyst® software to successfully collect geo-referenced digital images and extract asset locations and
associated attributes. The digital video data collected in the field is loaded into a software package that allows the
technicians to scroll through the images (as if they were driving the roads) and generate an inventory of all the
required features. The features are logged for both position (spatially and linearly) as well as attributes (feature
types, materials, etc.). Through the use of the Trident-3D Analyst® software, digital images collected from the
field will be viewed in the office, to generate a complete and accurate asset inventory for this project. Any assets
located within the street ROW that are visible within the horizontal reference plane covered by the camera can be
identified from the digital images and extracted into a database with geo-referenced coordinates. All storm, sanitary
and fire hydrants that are visible within the ROW will be inventoried. Each asset can be observed and assigned
relevant attribute data, such as location and asset type.
Task 11: Nondestructive Deflection Testing
The objective of the NDT program is to measure the pavement’s structural response to heavy dynamic loads, similar
in magnitude and duration to those produced by moving wheel loads. The collected deflection data will be used to
identify the uniform pavement sections, determine the pavement layer material properties, load transfer efficiency
and foundation support. These values will then be used to determine the structural capacity of the pavement and
develop appropriate rehabilitation designs. ERI has developed the software to show the FWD data on Google Earth
using GPS co-ordinates recorded during the field-testing operation. Falling Weight Deflectometer (FWD) testing
will be performed on City road network of approximately 242 centerline miles. Deflection data will be analyzed to
determine the weak/strong areas along the length of the existing pavement.
Task 12: Ground Penetrating Radar (GPR) Testing for Continuous Pavement Thicknesses
The GPR collected simultaneously during the
pavement condition survey using an air
coupled antenna will be analyzed to determine
continuous profile of surface layer thickness of
the pavement for the entire length of the
project. The GPR and FWD testing can also be
conducted simultaneously along the City roads
in the outer lane and in both directions. The
data can be collected using a combination of air
coupled and ground coupled antennas for
deeper data acquisition. GPR testing will be
used to determine continuous profile of surface
layer thickness of the pavement for the entire
length of the project. Thickness data obtained
from GPR will be used in FWD data analysis
to normalize the defections to temperature. ERI will utilize GSSI’s Radan software to process the GPR data and to
determine approximate thicknesses of pavement layers. ERI’s submittal will include a summary table with the
average pavement thickness information for surface layer/s and base layer (if identified) that are calculated for each
segment. The select areas will be visually examined to process the GPR data at one-foot intervals. Therefore,
continuous thickness profiles will also be developed that would not be possible with conventional pavement coring
program. ERI typically conducts limited coring to calibrate the GPR results.
Task 13: Limited Destructive Testing (Coring)
Limited destructive testing will be conducted by taking cores from the existing pavements. Coring will be performed
up to top of subgrade. We estimate approximately 2 to 3 cores per lane mile; however, the coring quantities will be
Page 15
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
finalized after the establishment of uniform pavement sections and collection of GPR data. A brief summary will
be included in the final report discussing the locations, conditions, and thicknesses of the cores taken.
4. MANAGEMENT APPROACH
In accordance with ERI’s project management standards, the project manager will develop a Project Management
Plan (PMP) that will serve as a manual that clearly defines the process in which the project will be managed. This
PMP will be collection of all pertinent information required to successfully manage the project. The PMP will
facilitate a standard process for planning the successful execution of this project and includes plans for staffing,
communications, quality assurance and quality control. The PMP will be developed and approved at the beginning
of the project. Additionally, the pavement data collection and processing Quality Management Plan will be included
in the project PMP. Internal controls are in place that require project managers to monitor and report on various
aspects of the project, such as budgets, milestones and quality reviews. Adjustments will be made to the project
plan as necessary to mitigate project risks. The following activities will be included in this project management
task: supervision/scheduling, daily staff assignments and task monitoring, monitoring of the project schedule and
budget, periodic QA/QC review, and project billing and monthly status reports.
5. STAFF QUALIFICATIONS
The ERI Team possesses the knowledge and skill to
successfully complete this project for City of Bozeman. If
selected, the City will get our best engineers invested in
understanding and achieving your goals, as ERI is truly
dedicated to being a trusted advisor for our clients. Our team
includes experienced staff in conducting pavement condition
inspections and other pavement testing and have the utmost
confidence in when it comes to producing a high-quality
product. We can provide the planning and analysis that
produces a cost-effective, timely, and efficient solution for City
of Bozeman hardscapes. We look forward to discussing that
plan with you. Organization chart of proposed team for this
project is shown here and detailed descriptions of key
personnel are included at the end of the letter. ERI has grouped
its services into three major categories as shown in the table
below. The table presents the total number of ERI employees
who have extensive experience in each of these categories and
current workload backlog.
ERI Professional Services
Number of
Employees
Work
Backlog
(%)
FY 2019
Billing
Pavement Management, Pavement Design and Pavement
Rehabilitation Services 13 35 $820,651
Non-Destructive Testing (NDT) Services 13 15 $38,909
Geotechnical, Construction Inspection and Material Testing
Services 11 15 $380,006
Page 16
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
6. RELATED EXPERIENCE ON SIMILAR PROJECTS
PAVEMENT MANAGEMENT SYSTEM, CITY OF GRAND ISLAND, NE (2020)
Engineering & Research Int'l., Inc. (ERI) was contracted by the City of Grand
Island, Nebraska for a comprehensive Pavement Condition Assessment services
of approximately 350 segment miles. The Pavement Condition Assessment
Study examined the overall condition of the City’s public road network provided
training to the city staff for the identification of Maintenance and Rehabilitation
(M&R) projects and recommended options for maintaining and/or improving
the current network-level pavement condition. Cartegraph OMS software was
used to determine existing pavement conditions, predict future pavement
conditions, predict financial needs, and identify and prioritize pavement
maintenance and rehabilitation (M&R) projects as an integral part of a multi-
year program for preservation, maintenance and improvement of City streets.
Key Personnel & Roles
Abbas Butt Ph.D., P.E. – Project Manager
Hari Priya Pemmaraju Venkata – Senior Project Engineer-
Pavement Management/Project Co-ordination/Database
Management/GIS
Tim Worstell – Data Collection Lead / PCI
Project Reference
City of Grand Island
Mr. Tim Golka
Project Engineer
100 East First St.
Grand Island, NE 68801
Phone: 308-389-0263
timg@grand-island.com
Relevance to Contract
Pavement Network
GIS & field verification
Linear segmentation
Condition Evaluation
Automated Data collection
Condition Analysis (PCI)
Geolocated Images
Pavement Analysis
Developed Performance & Prediction model
Create Deterioration Rate Tables
Updated PCI vs. Cost Est.
Develop Pavement Management Plan
Updated City’s Cartegraph OMS
database for the latest pavement
condition survey
Updated pavement deterioration models
in Cartegraph OMS
Developed multi year budget scenarios in
Cartegraph OMS
Geospatial data and maps in GIS format
PAVER Results
Entered latest pavement distress data into
MicroPAVER
Compare PAVER PCI values with
Cartegraph OMS PCI values
Non-Destructive Testing
GPR Testing
Size: 350 Lane Miles
Cost: $ 154,542.55
Page 17
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
PAVEMENT MANAGEMENT SYSTEM UPDATE, CITY OF TOLEDO, OH (2018)
In the Spring of 2017, the City of Toledo selected Engineering and Research
International, Inc. (ERI) to develop a comprehensive PMS using
MicroPAVERTM and transfer all historic data on pavement condition for all the
pavement networks. The City identified local streets network (approx. 1,540
lane miles) and major street network (approx. 50 lane miles) for a
comprehensive PMS update study. The project included assessment of the
existing pavement condition and recommendation of various maintenance and
rehabilitation options for improving the current network-level Pavement
Condition Index (PCI) and to help identify and prioritize necessary pavement
preservation projects over a five-year period.
The project tasks consisted of background data collection, records review, dividing pavements into
uniform pavement sections, Pavement Condition Index (PCI) survey using automated distress survey
vehicle, historical data capture, creation of MicroPAVERTM database, development of pavement
performance prediction models, development of pavement maintenance policies, development of PCI vs.
maintenance & rehabilitation (M&R) cost relationships, development of five year maintenance and
rehabilitation program, linking MicroPAVERTM PMS to Geographic Information System (GIS) and
training to City staff on the use of MicroPAVERTM.
Key Personnel & Roles
Abbas Butt Ph.D., P.E. – Project Manager
Mr. Mark Brown – Senior Systems Analyst -
MicroPAVER
Hari Priya Pemmaraju Venkata – Principal Engineer-
Project Co-ordination/Database Management/GIS
Josh Black – Field Data Collection / PCI
Project Reference
Mr. Tim Grosjean
One Lake Erie Center
600 Jefferson Avenue
Toledo, OH 43604
Tel: 419-245-1344
Tim.Grosjean@toledo.oh.gov
Relevance to Contract
Pavement Network
GIS & field verification
Linear segmentation
Establish and update work history of
maintenance, repairs and construction
Condition Evaluation
Automated Data collection
Condition Analysis
Pavement Analysis
Developed Performance & Prediction model
Create Deterioration Rate Tables
Updated PCI vs. Cost Est.
Develop Pavement Management Plan
Future project requirements list with
PAVER project formulation tool
Geospatial data and maps in GIS format
PAVER Results
Review PAVER database with user
Generate implementation reports with
prioritized project requirements list
Budget Scenarios
M&R Plans
Non-Destructive Testing
GPR Testing
Size: 1,590 lane Miles of Roadway Network
Cost: $ 233,414.29
Page 18
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
PROFESSIONAL SERVICES FOR ARTERIAL ROADWAY PAVEMENT REHABILITATION EVALUATION,
CITY OF DES MOINES, IOWA (2016)
The City of Des Moines selected Engineering and Research International
Inc. (ERI) to analyze pavement condition and prioritize maintenance &
replacement for approximately 128 lane miles of Arterial Roadway
Pavement Rehabilitation Evaluation. The project scope of work included
background data collection, records review, dividing pavements into
uniform pavement sections, Automated Distress Survey, FWD testing,
GPR testing, Coring, PCI Calculation, Pavement Management System,
MicroPAVER database creation, development of pavement performance
prediction models, development of pavement maintenance policies, IRI,
development of PCI vs. maintenance & rehabilitation (M&R) cost
relationships, development of five year project level maintenance and
rehabilitation program and linking MicroPAVER PMS to GIS.
Key Personnel & Roles
Abbas Butt Ph.D., P.E. – Project Manager
Mr. Mark Brown – Senior Systems Analyst -
MicroPAVER
Hari Priya Pemmaraju Venkata – Senior Project Engineer-
Pavement Management/Project Co-ordination/Database
Management/GIS
Satish Gundapuneni – Senior Pavement Engineer-Data
Collection Lead / PCI
Project Reference
Mr. Craig Bouska
City of Des Moines
City Hall, 2nd Floor
400 Robert D. Ray Drive
Des Moines, IA 50309
Tel: 515-283-4580
cmbouska@dmgov.org
Relevance to Contract
Pavement Network
GIS & field verification
Linear segmentation
Establish and update work history of
maintenance, repairs and construction
Condition Evaluation
Automated Data collection
Condition Analysis
Geo-located Images
IRI and Rutting
Pavement Analysis
Developed Performance & Prediction model
Create Deterioration Rate Tables
Updated PCI vs. Cost Est.
Develop Pavement Management Plan
Future project requirements list with
PAVER project formulation tool
Geospatial data and maps in GIS format
PAVER Results
Review PAVER database with user
Generate implementation reports with
prioritized project requirements list
Budget Scenarios
M&R Plans
Non-Destructive Testing
GPR Testing
FWD Testing
Size: 128 centerline Miles of Arterial Roadway Network
Cost: $ 229,900
Page 19
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
AUTOMATED DISTRESS SURVEY, GPR AND FWD TESTING FOR THE CITY OF CHATTANOOGA
PAVEMENT MANAGEMENT SYSTEM, CHATTANOOGA, TENNESSEE (2020)
ERI was contracted by the City of Chattanooga to conduct
Automated Distress Survey, Non-destructive Deflection
Testing (NDT) using Falling Weight Deflectometer
(FWD) and Ground Penetrating Radar (GPR) Testing on
2,600 lane miles of pavements, identify uniform pavement
sections based on the FWD and GPR data, provide the City
with the pavement layer thickness information for each
identified uniform pavement section, calculate Pavement
Condition Index (PCI), develop the MicroPAVERTM
(PMS) database, and link MicroPAVERTM GIS.
Key Personnel & Roles
Abbas Butt Ph.D., P.E. – Project Manager
Mr. Mark Brown – Senior Systems Analyst -
MicroPAVER
Hari Priya Pemmaraju Venkata – Senior Project Engineer-
Pavement Management/Project Co-ordination/Database
Management/GIS
Satish Gundapuneni – Senior Pavement Engineer-Data
Collection Lead / PCI
Tim Worstell, PAVER Technician/Field Analyst
Project Reference
Mr. Eddie Tate
Pavement Manager
City of Chattanooga
Engineering Division/ DRC
1250 Market Street, Suite 2100
Chattanooga, TN 37402
Tel: 423-643-6192
etate@chattanooga.gov
Relevance to Contract
Pavement Network
GIS & field verification
Linear segmentation
Establish and update work history of
maintenance, repairs and construction
Condition Evaluation
Automated Data collection
Condition Analysis
Pavement Analysis
Developed Performance & Prediction model
Create Deterioration Rate Tables
Updated PCI vs. Cost Est.
Develop Pavement Management Plan
Future project requirements list with
PAVER project formulation tool
Geospatial data and maps in GIS format
PAVER Results
Review PAVER database with user
Generate implementation reports with
prioritized project requirements list
Budget Scenarios
M&R Plans
Non-Destructive Testing
GPR Testing
FWD Testing
Size: 2,600 Lane Miles
Cost: $ 867,750.00
Page 20
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
7. PROPOSED SCHEDULE
A detailed project schedule will be provided to the City within one (1) week after the project kick-off meeting.
Based on our current workload we anticipate that our equipment can be mobilized to initiate the data collection for
the City immediately. We have the capacity and resources to start working in a time efficient manner, including
submission of required deliverables with the execution of agreement.
Page 21
PROPOSAL FOR
CITYWIDE PAVEMENT CONDITION ASSESSMENT, CITY OF BOZEMAN, MT
8. NONDISCRIMINATION AFFIRMATION FORM
Page 22
ABBAS A. BUTT P.E., Ph.D.
Project Manager
Professional Engineering
Licenses / Certifications
Illinois No. 062-048131
Iowa No. 23458
Minnesota No. 56179
Missouri PE-2018019108
Rhode Island PE.0012966
Wisconsin No. 46834-6
Georgia (In Process)
Education
University of Illinois, Urbana-
Champaign, Ph.D., C.E., 1991
University of Illinois, Urbana-
Champaign, MSCE, 1986
University of Engineering and
Technology, Lahore (Pakistan),
BSCE, 1979
Areas of Expertise
Pavement Management System,
Pavement Evaluation, Pavement
Design, Non-Destructive Testing,
Asset Management System
Certifications
PAVER/Field InspectorTM -
Webinar
PROJECT EXPERIENCE
Project Manager for over 700 pavement management/evaluation/design
construction/forensic projects between 1979 – 20 for roads, airports in the USA, Pakistan,
Saudi Arabia, Kuwait, United Arab Emirates, Jordan, Qatar, and The Netherlands. Dr. Butt
has been responsible for developing pavement management systems, evaluating the
causes of pavement failures, and developing rehabilitation recommendations for various
airport and roadway pavement networks of city/town/municipal and public works. Dr.
Butt brings specialized expertise in pavement engineering using programs such as
MicroPAVERTM and various pavement analysis and design programs as well as a
thorough understanding of MEPDG requirements and pavement treatment options.
Dr. Butt was responsible for overall management of the projects, responsible for records
review, site evaluation, data analysis and recommending potential repair, determination
of Remaining Life, Responsible for a comprehensive review of the pavement
management program and comparison with industry practices, Providing guidance to the
clients on pavement management practices and use of pavement preservation techniques,
help the agencies identify the short- and long-term initiatives needed to improve
practices for managing pavements.
Micro PAVER Research and Development
Dr. Butt's services were utilized at the U.S. Army Construction Engineering Research
Laboratory (CERL) for the research and development of the Micro PAVER Pavement
Management System. During a period of three years, Dr. Butt developed probabilistic
pavement performance prediction models and pavement network optimization routines
using dynamic programming and incremental benefit cost ratio techniques. During his
research, Dr. Butt utilized a significant amount of pavement condition survey data
collected from numerous U.S. Army bases.
Key Pavement Management System Projects
2020 Pavement Management System Update, Toledo, OH (Ongoing)
Statewide Pavement Data Collection, West Virginia (Ongoing)
Quality Review of the Illinois Roadway Information System (IRIS) Data and
Data Remediation for the Bureau of Research, Illinois DOT, PTB 190- Item 43
(Ongoing)
2019 Pavement Condition Assessment, City of Grand Island, NE (Ongoing)
Pavement Management Information System Update (2017), City of Toledo, OH
(Ongoing)
Pavement Rehabilitation Strategy Course Development for the University of
Illinois Urbana-Champaign, IL (Ongoing)
Automated Pavement Condition Survey, Village of Mahomet, IL (2017)
Page 23
Hari Priya Pemmaraju Venkata, EIT Senior Engineer/Data Processing and Delivery Lead
Professional Engineering
Licenses / Certifications
Engineer-In-Training
Education
University of Rhode Island, RI,
MS, CE, 2007
Osmania University College of
Engineering, India, BS, CE 2004
Areas of Expertise
Pavement Management System, Pavement Evaluation, Non-
Destructive Testing, Asset
Management System
Certifications
PAVER/Field InspectorTM -
Webinar
Awards
Outstanding Service Award for Outstanding Service for the
Department of Transportation by
the FHWA’s STIPDG Program.
PROJECT EXPERIENCE
Ms. Pemmaraju has over 11 years of experience in the processing of information necessary
for informed pavement management. She obtained her master’s degree specializing in
Pavement Design, Pavement Management and GIS. Her civil engineering background
gives a valuable expertise to successfully manage pavement management projects. Hari’s
responsibilities are comprised of initial project setup, implementing effective management
techniques for all data services activities with a focus on data completeness, data quality,
data management and productivity. She coordinates all resources to ensure projects are
delivered on time within budget and according to client specifications.
She has experience in extracting infrastructure asset management data from images and
data collected using automated infrastructure asset management data collection
methodologies. She has managed data reduction, and oversees the analysis of pavement
distress from the images collected during ERI’s pavement management data collection
efforts. Ms. Pemmaraju performs initial distress data quality control reviews and is
responsible for developing and implementing training procedures and tools for training
ERI’s data reduction technicians. Ms. Pemmaraju has performed the GIS spatial analysis
and data conversion and integration with Pavement Management System. Her
responsibility also includes database administrator and writing SQL scripts for data
extraction and import into the pavement management software.
Pavement Management System Projects
• Statewide Pavement Data Collection, West Virginia (Ongoing)
• Quality Review of the Illinois Roadway Information System (IRIS) Data and Data
Remediation for the Bureau of Research, Illinois DOT, PTB 190- Item 43
(Ongoing)
• 2019 Pavement Condition Assessment, City of Grand Island, NE (Ongoing)
• Pavement Management Information System Update (2017), City of Toledo, OH
(Ongoing)
• Automated Pavement Condition Survey, Village of Mahomet, IL (2017)
• Automated Pavement Condition Survey, Village of St. Joe, IL (2016)
• Automated Pavement Condition Survey, FWD, GPR Testing, and Pavement
Management System for 11 Arterial Roads in City of Des Moines. (2016)
• Automated Pavement Condition Survey and Pavement Management System for
the City of Rock Island, IL (2014)
• Automated Pavement Surface Attribute Data Collection and Data Processing (IRI,
Rutting, Faulting, Cracking Percent and Crack Length) of various roads in NJ
(2014)
• Automated Pavement Condition Survey, FWD, GPR Testing and Pavement
Management System, for the City of Owosso, MI (2013)
• Automated Pavement Surface Attribute Data Collection and Data Processing (IRI,
Rutting, Faulting, Cracking Percent and Crack Length) of various roads in NJ
(2012)
• Automated Pavement Condition Survey for the City of Chattanooga, Pavement
Management System Chattanooga, TN (2012)
Page 24
Ivan Robert Catron, EIT Project Engineer/Data Collection Lead
Professional Engineering
Licenses / Certifications
Engineer-In-Training
No. 061-036708 Education
Southern Illinois University of
Edwardsville, IL, BS, CE, 2012
Areas of Expertise
Pavement Management System,
Pavement Evaluation, Non-Destructive Testing, Asset
Management System
Certifications
HAZMAT Training – 2019
OSHA 10 Hour Construction
Industry Course – 2013
IDOT 3-Day Aggregate Technician
Course – 2014
IDOT Level I/ACI PCC Technician Course – 2014
IDOT Level II PCC Technician
Course – 2015
IDOT Nuclear Density Technician
Course – 2015
SHRP Calibration Certification – 2019
PROJECT EXPERIENCE
Mr. Catron serves as the project engineer for ERI’s material testing and geotechnical
investigation projects and also serves as manager of ERI’s field asset data collection
operations and has been working with field-based data collection units such as ERI’s ADS
and profiler equipment for over 3 years. He has a solid understanding of data elements,
data processing, and performing quality assurance checks to confirm the integrity of the
collected data.
Pavement Management System Projects
• Pavement Management System Update (2020), City of Toledo, Toledo, OH
(Ongoing)
• Statewide Pavement Data Collection, West Virginia (Ongoing)
• Quality Review of the Illinois Roadway Information System (IRIS) Data and
Data Remediation for the Bureau of Research, Illinois DOT, PTB 190- Item 43
(Ongoing)
• 2019 Pavement Condition Assessment, City of Grand Island, NE (Ongoing)
• Pavement Management System Update (2017), City of Toledo, Toledo, OH
• Digital Imaging and Laser Data Collection on SR400, Applied Research
Associates, Inc., Atlanta, GA (2018)
• Automated Pavement Condition Survey, Village of Mahomet, Mahomet, IL
(2017)
• Automated Distress Survey, Clark Dietz, Inc., St. Joseph, IL (2016)
• Professional Services for Arterial Roadway Pavement Rehabilitation
Evaluation, City of Des Moines, Des Moines, IA (2015)
• 2014 Automated Distress Survey NJDOT (2014)
• Engineering Services in Conjunction with Pavement Rehabilitation of Runway
15-33 At Francis S. Gabreski Airport, Town of South Hampton, Suffolk County,
New York (2014)
• Pavement Inventory Field Inspection Services, City of Rock Island, Rock Island,
IL (2013)
• Extension of Runway Life to 40 years, Gemini Technologies, Inc., Indianapolis
International Airport, O’Hare International Airport (2013)
Non Destructive Pavement Testing & Data Analysis
• FWD Testing, Back Calculation Analysis Reporting & Reporting for North,
Central and South New Jersey Highways, New Jersey (2020)
• Nondestructive Deflection Testing and Analysis, Geotechnical Investigation at
Willard Airport, Savoy, IL (2019)
• KUAB FWD Setup, Calibration and Training, Oregon DOT (2018)
Page 25
Joshua Black Senior Engineering Technician
Education
A.S. Civil Engineering Technology,
2002
Areas of Expertise
Non-Destructive Testing,
Automated Distress Surveys,
Nuclear Density Testing,
Concrete Testing, Asphalt
Testing, Geotechnical testing,
SHRP, GPR Testing, Profile
Testing, Friction testing, Traffic
Control
Certifications
Technician Course - 1999
IDOT Nuclear Density Technician
Course - 2002
IDOT Level I/ACI PCC Technician
Course – 2015
IDOT Level I Asphalt Technician Course – 2002
IDOT Level II/PCC Technician
Course – 2006
IDOT S33 – Geotechnical Field
Testing and Inspection – 2003
HAZWOPER 40 Hr - 2016 OSHA 10 Hour Construction
Industry Course - 2012
Humboldt Nuclear Safety Course –
1999
PROJECT EXPERIENCE
Mr. Black has over 19 years of experience performing pavement engineering testing
services throughout the United States for several cities, counties, municipalities and federal
transportation agencies. In his present capacity as Senior Engineering Technician, Mr.
Black is involved in all facets of pavement data collection efforts for roadway, highway
and airport projects. He has conducted numerous pavement condition index (PCI) surveys
(manual and automated), non-destructive testing using a Falling Weight Deflectometer,
smoothness testing using an Inertial Profiler, Pavement Skid Resistance Testing using
Friction tester and Ground Penetrating Radar (GPR) testing.
Pavement Management System Projects
• Pavement Management System Update (2020), City of Toledo, Toledo, OH
(Ongoing)
• Statewide Pavement Data Collection, West Virginia (Ongoing)
• Quality Review of the Illinois Roadway Information System (IRIS) Data and
Data Remediation for the Bureau of Research, Illinois DOT, PTB 190- Item 43
(Ongoing)
• 2019 Pavement Condition Assessment, City of Grand Island, NE (Ongoing)
• Pavement Management System Update (2017), City of Toledo, Toledo, OH
• Digital Imaging and Laser Data Collection on SR400, Applied Research
Associates, Inc., Atlanta, GA (2018)
• Automated Pavement Condition Survey, Village of Mahomet, Mahomet, IL
(2017)
• Automated Distress Survey, Clark Dietz, Inc., St. Joseph, IL (2016)
• Professional Services for Arterial Roadway Pavement Rehabilitation
Evaluation, City of Des Moines, Des Moines, IA (2015)
• 2014 Automated Distress Survey NJDOT (2014)
• Engineering Services in Conjunction with Pavement Rehabilitation of Runway
15-33 At Francis S. Gabreski Airport, Town of South Hampton, Suffolk County,
New York (2014)
• Pavement Inventory Field Inspection Services, City of Rock Island, Rock Island,
IL (2013)
• Extension of Runway Life to 40 years, Gemini Technologies, Inc., Indianapolis
International Airport, O’Hare International Airport (2013)
Non Destructive Pavement Testing & Data Analysis
• FWD Testing, Back Calculation Analysis Reporting & Reporting for North,
Central and South New Jersey Highways, New Jersey (2020)
• Nondestructive Deflection Testing and Analysis, Geotechnical Investigation at
Willard Airport, Savoy, IL (2019)
• KUAB FWD Setup, Calibration and Training, Oregon DOT (2018)
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