Artificial Intelligence for Transportation Systems Management and Operations Applications

The objective of this research is to develop a guide, including implementation roadmaps, to help state DOTs and other transportation agencies in developing and deploying next-generation, data-driven, and AI-enabled decision support systems (DSS) for transportation systems management and operations (TSMO) applications. A key emphasis should be on identifying areas where AI technologies can improve DSSs for TSMO applications and providing detailed implementation steps, resource needs, and assessing reliability and scalability of AI-based solutions. 


  • English


  • Status: Active
  • Funding: $450000
  • Contract Numbers:

    Project 07-34

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Deng, Zuxuan

  • Performing Organizations:

    University of Arizona

    College of Engineering
    1209 East 2nd Street
    Tucson, AZ  United States  85721
  • Principal Investigators:

    Wu, Yao-Jan

  • Start Date: 20240415
  • Expected Completion Date: 20261014
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01847387
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 07-34
  • Files: TRB, RIP
  • Created Date: May 26 2022 5:00PM