Improved Traffic Operations through Real-Time Data Collection and Control

New data collection technologies enable real-time traffic control more precise and efficient than what was earlier possible. This project develops novel control strategies based on this data, with an emphasis on two types of traffic control: (1) signalized intersection control, where cycle lengths and phasing may be adjusted based on observed demands and coordination with nearby intersections, and (2) pricing strategies, where tolls are adjusted in real time based on observed demand, in order to influence travelers to avoid congested areas. Both of these share a common methodological basis of adjusting traffic controls to prioritize particular vehicles to minimize congestion, accounting for human behavior and learning. The project will involve combining wireless routing algorithms with traffic engineering knowledge to create innovative control policies.


    • English


    • Status: Completed
    • Funding: $33000
    • Contract Numbers:


    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Project Managers:

      Bhat, Chandra

    • Performing Organizations:

      Data-Supported Transportation Operations and Planning Center

      University of Texas at Austin
      Austin, TX  United States  78701
    • Principal Investigators:

      Boyles, Stephen

      Shakkottai, Sanjay

    • Start Date: 20140601
    • Expected Completion Date: 20160531
    • Actual Completion Date: 20160531
    • Source Data: 108

    Subject/Index Terms

    Filing Info

    • Accession Number: 01579951
    • Record Type: Research project
    • Source Agency: Data-Supported Transportation Operations and Planning Center
    • Contract Numbers: DTRT13-G-UTC58
    • Files: UTC, RIP
    • Created Date: Oct 28 2015 6:09PM