Toolkit for Implementation of AI-Based Solutions for State Departments of Transportation
Artificial intelligence (AI) is rapidly transforming many industries, and the transportation sector is no exception. AI-based decision support systems (DSS) have the potential to revolutionize the way state departments of transportation (DOTs) operate and manage their transportation networks. AI-based DSS can be used to collect, analyze, and interpret large amounts of data from a variety of sources, such as traffic cameras, sensors, mobile phones, and social media. This information can be used to generate insights and recommendations to help DOTs make informed decisions about a range of topics from traffic management and infrastructure planning to daily DOT agency operations. At the same time, there are numerous challenges and factors that need to be addressed including, but not limited to, developing AI-based DSS that are accurate and reliable in real-world transportation settings, AI-related processes that can be integrated into state DOT’s workflows, and AI tools that can be used by state DOT staff. Research is needed to assist state DOTs in developing ground rules for the implementation of AI-based tools to make better decisions more quickly and efficiently. The structure for these ground rules shall be aligned and support the American Association of State Highway and Transportation Officials (AASHTO) 2021-2026 Strategic Plan goals and objectives: Safety, mobility and access for everyone; National transportation policy leadership; and Organizational excellence with world-class services. OBJECTIVE: The objective of this research is to develop a toolkit for the successful conceptualization, development, evaluation, and adoption of AI-based DSS solutions by state DOTs. The toolkit shall leverage and build upon relevant National Cooperative Highway Research Progam (NCHRP), federal government, state, and private research and information (see Special Note B). The toolkit shall be a user-friendly, step-by-step resource capable of addressing current and future AI-based DSS solutions. At a minimum, the research shall consider technical, and organizational and business process considerations important to state DOTs.
- Record URL:
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Supplemental Notes:
- Contract to a Performing Organization has not yet been awarded.
Language
- English
Project
- Funding: $400,000
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Contract Numbers:
Project 20-133
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001 -
Project Managers:
Barcena, Roberto
- Start Date: 20250113
- Expected Completion Date: 0
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Data analysis; Data collection; Decision support systems; Networks; State departments of transportation
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01919352
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 20-133
- Files: TRB, RIP
- Created Date: May 22 2024 2:08PM