Document Library

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.

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/

Welcome to the Fall 2024 edition of the Transportation Performance Management (TPM) Newsletter, sponsored by the American Association of State Highway and Transportation Officials (AASHTO) Committee on Performance-Based Management (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
— Improving Safety with Performance Management
— 2025 TRB 104th Annual Meeting Sessions of Interest
— Safety Resources
— AASHTO Updates
— Featured Transportation Research
— Register for the December 5th Joint AASHTO CPBM / TPM TSP Quarterly Virtual Webinar and Meeting
— Save the Date
— Get Involved in a CPBM Subcommittee or Work Group

The "Improving Safety with Performance Management Peer Exchange," held on September 20, 2024, focused on sharing best practices and experiences among state DOTs, FHWA, and other agencies to enhance transportation safety performance. Participants engaged in a collaborative forum discussing strategies, tools, and resources aimed at reducing transportation-related fatalities and serious injuries. A series of sessions addressed safety performance metrics and calculation, risk and resiliency, and the support of vulnerable road users, with insights shared through group discussions and expert presentations. Innovative practices were highlighted in a video showcase from various agencies, emphasizing collaborative and systemic approaches to safety improvements. The exchange concluded with prioritization exercises and strategy discussions, aimed at fostering a collective advancement in safety performance management across transportation agencies.

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.

This is a companion document to NCHRP Report 1122: Implementing Machine Learning at State Departments of Transportation.

Over the past two decades, machine learning—the leading branch of artificial intelligence—has risen rapidly on the strength of exploding data volumes, cheaper storage and computation, and continual algorithmic breakthroughs. Deep-learning techniques and generative AI systems such as ChatGPT are now transforming day-to-day business practices. Yet state and local transportation agencies are drowning in new data streams faster than they can translate them into actionable insight. TRB’s NCHRP Research Report 1122, *Implementing Machine Learning at State Departments of Transportation: A Guide*, equips DOTs with a primer on promising ML use cases, tools for weighing costs, benefits, risks, and constraints, and a roadmap for fostering the data-driven culture needed to scale these capabilities across transportation programs.