Document Library

This report explores the use of AI and computer vision to automate condition assessment of roadside safety assets for UDOT. Leveraging street-level imagery, the project tested object detection models (YOLO11n) and vision-language models (Gemma 3, Llama 3.2) to classify defects, rate conditions, and evaluate design compliance for primary and secondary assets. Findings highlight the challenges of defect detection, the promise of advanced models, and opportunities to improve maintenance prioritization and roadway safety.

Developed as a modular, open-source Python package with accompanying Jupyter notebook examples and hosted on GitHub, this tool provides a scalable approach to pavement condition monitoring. The research shows that temperature data collected from embedded thermocouples, when analyzed using advanced computational techniques, can serve as reliable indicators of pavement degradation, supporting more informed, data-driven infrastructure management decisions

This calendar includes meetings hosted by the AASHTO Committee on Performance Based Management and its subcommittees, as well as programs and events supported by the Transportation Performance Management Technical Service Program, including peer exchanges and monthly webinars. This calendar spans June 2025 - December 2025.

NCHRP Research Report 1121 distills practical tools, methods, and guidelines that help transportation agencies modernize data integration, sharing, and management for planning and traffic operations. Grounded in real-world use cases—integrated corridor management, smart-city initiatives, incident response, performance management, work-zone oversight, and more—the report captures best practices and lessons learned while showcasing proof-of-concept products that tackle persistent obstacles such as incompatible data standards, data-quality gaps, and concerns over proprietary or sensitive information. Deployment assistance examples illustrate how well-designed data architectures foster collaboration among public agencies, private partners, travelers, and connected devices, leading to more informed, data-driven decisions. A companion website hosted by the National Operations Center of Excellence (https://data.transportationops.org) compiles the full set of best practices and supplemental resources.

This short document provides a vision/roadmap for public agencies to adopt and leverage AI-Ready federal statistical data.

This guide from TRB’s National Cooperative Highway Research Program highlights how AI, machine learning, and emerging data sources—such as connected vehicles, LiDAR, video analytics, and edge devices—can improve traditional road safety evaluations. Case studies from Oregon DOT and the City of Bellevue, WA, illustrate practical applications, including using ML to inventory streetlights for crash risk analysis and analyzing turning behavior at intersections to enhance safety.

This synthesis documents how state DOTs manage Mechanically Stabilized Earth (MSE) walls in their inventories, including practices for maintenance, rehabilitation, assessment, and life-cycle cost analysis. While MSE walls are common in transportation projects for their efficiency and resilience, most are too new to evaluate long-term performance, and design standards have evolved significantly over time.

Tennessee DOT’s five-year Connected and Automated Vehicle Readiness Action Plan charts how CAV technology will become part of everyday traffic-signal and roadway operations statewide. Grounded in TDOT’s past investments and peer lessons, the plan lays out strategic, actionable steps across planning, policy, funding, engagement, and deployment, with an emphasis on quick safety gains and large-scale interoperability. It also details how TDOT leadership will equip and collaborate with resource-constrained local agencies on infrastructure, operations, and maintenance. Delivering the plan would embed CAV capabilities in TDOT’s standard toolkit and keep Tennessee at the forefront of future CAV investment and expansion.

Welcome to the Winter 2025 edition of the Transportation Performance Management (TPM) Newsletter, sponsored by the American Association of State Highway and Transportation Officials (AASHTO) Committee on Performance-BasedManagement (CPBM) in collaboration with the TPM Technical Service Program. The Technical Service Program is supported by AASHTO in collaboration with the Federal Highway Administration (FHWA). Featuring:

— Welcome from the AASHTO CPBM Chair
— MassDOT Destination Accessibility Measurement and Application
— Measuring Access to Destinations
— Access to Destinations Resources
— Input Needed: Surveys on Integrating Performance Management, Risk Management and Process Improvement, and Program-Level Risk Metrics
— AASHTO Updates
— TAM Webinar Focuses on Expanded Asset Classes in TAMPs
— Status of 2024-2027 PIARC Work Cycle
— Featured Transportation Research
— Save the Date
— Get Involved in a CPBM Subcommittee, Work Group, or Task Force

This brief document outlines the AASHTO CPBM Subcommittee on Asset Management's Strategic Plan for 2011-2015. Colorado DOT scanned their copy for archival purposes. Check out the home of the CPBM Subcommittee on Asset Management for more resources, news, and events: https://www.tam-portal.com/community/cpbm-am/

The United States is experiencing a persistent road safety crisis. Over the past decade, the fatal crash rate per mile traveled has increased, with the sharpest growth occurring among crashes involving vulnerable road users such as pedestrians and bicyclists. U.S. motor vehicle fatality rates are also significantly higher—three to four times greater—than those in other high-income countries in Europe and Asia.

TRB Special Report 354: Tackling the Road Safety Crisis: Saving Lives Through Research and Action, produced by the Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine, examines the scope and causes of this challenge. The study was conducted in response to a request from the Federal Highway Administration, the American Association of State Highway and Transportation Officials, and the Insurance Institute for Highway Safety.

The report outlines a set of recommendations for the U.S. Department of Transportation, including the development of a coordinated, data-driven national road safety research strategy across federally funded safety programs and stronger mechanisms to translate research findings into practice. It also emphasizes the need for systematic research to validate practitioner guidance and retire outdated or unsupported approaches. To advance these goals and elevate national road safety efforts, the study recommends establishing a National Road Safety Research Center.

The Colorado Department of Transportation’s Resilience Improvement Plan (RIP) outlines the agency’s efforts to proactively manage risks and strengthen the state’s transportation infrastructure against natural and human-made hazards. Rooted in lessons from the 2013 flood disaster, the plan highlights CDOT’s Risk and Resilience Program and its commitment to minimizing disruptions and adapting to changing conditions, including those driven by climate change. It also aligns with national initiatives like the PROTECT program under the Bipartisan Infrastructure Law, integrating resilience into both short- and long-term planning. Through ongoing updates and data-driven strategies, the CDOT RIP serves as a framework for maintaining a safe, reliable, and adaptive transportation system.