Traffic Signal Strategies for Oversaturated Conditions

Increasing traffic volumes are worsening congestion in Kentucky’s major population centers. On many arterials traffic demand exceeds capacity, restricting mobility. Standard signal timing practices, which seek to maximize greenbands through an arterial system, may not operate effectively during oversaturated conditions, due to queue spillback and blockages that can prohibit vehicles from arriving at downstream signals during the greenband. Several methods to address oversaturated signal timing methods have been proposed and used by others including gating, offset weighting, and reverse progression. While these methods show promise they also typically require extensive data collection and analysis. An efficient methodology is needed to let engineers identify and diagnose oversaturated conditions and implement countermeasures using current signal timing practices and available data.

    Language

    • English

    Project

    • Status: Completed
    • Funding: $80000
    • Contract Numbers:

      KSPR 18-565

    • Sponsor Organizations:

      Kentucky Transportation Cabinet

      200 Mero Street
      Frankfort, KY  United States  40622
    • Managing Organizations:

      Kentucky Transportation Cabinet

      200 Mero Street
      Frankfort, KY  United States  40622
    • Performing Organizations:

      University of Kentucky, Lexington

      Kentucky Transportation Center
      College of Engineering, 176 Raymond Building
      Lexington, KY  United States  40506-0281
    • Principal Investigators:

      Kirk, Adam

    • Start Date: 20170701
    • Expected Completion Date: 20190630
    • Actual Completion Date: 20190630
    • USDOT Program: Transportation, Planning, Research, and Development

    Subject/Index Terms

    Filing Info

    • Accession Number: 01675638
    • Record Type: Research project
    • Source Agency: University of Kentucky, Lexington
    • Contract Numbers: KSPR 18-565
    • Files: RIP, STATEDOT
    • Created Date: Jul 20 2018 5:25PM