Intelligent Transit Signal Priority

Existing transit signal priority strategies rely on either extending existing green or early return to green to accommodate buses. However, field experience has shown that buses are not always able to make the green times provided by either extended green or early return to green, causing additional delays to general vehicular traffic. This is, in part, because of inaccuracy in bus arrival time estimation due to unexpected heavy queues. In addition, it has been also reported that transit signal priority (TSP) often causes disruptions in traffic signal progression along the major corridor if improperly implemented. The main purpose of this project is to investigate the status of transit signal priority in Virginia, and to explore opportunities to improve TSP through connected vehicle technology.


    • English


    • Status: Active
    • Funding: $60000.00
    • Contract Numbers:



    • Sponsor Organizations:

      Mid-Atlantic Universities Transportation Center

      Pennsylvania State University
      201 Transportation Research Building
      University Park, PA  United States  16802-4710
    • Performing Organizations:

      University of Virginia, Charlottesville

      Center for Transportation Studies
      P.O. Box 400742, Thornton Hall, D228
      Charlottesville, VA  United States  22903
    • Principal Investigators:

      Park, B

    • Start Date: 20120601
    • Expected Completion Date: 0
    • Actual Completion Date: 20130531
    • Source Data: RiP Project 33483

    Subject/Index Terms

    Filing Info

    • Accession Number: 01470887
    • Record Type: Research project
    • Source Agency: Mid-Atlantic Universities Transportation Center
    • Contract Numbers: DTRT12-G-UTC03, 140735-B
    • Files: UTC, RIP
    • Created Date: Jan 30 2013 1:00AM