Supply Management of Auto Traffic to Address Starvation of Green in Multimodal Environments

Traffic congestion is challenging to resolve at closely spaced oversaturated intersections. This condition leads to underutilization of green time at upstream intersections due to queue spill back from downstream traffic signals (green starvation). Such conditions cause significant delay and queue backups. In addition, conflicting modes of travel, like pedestrians or rail, may exist at a site and limit available strategies to manage the green time effectively. This project will explore strategies to increase utilization of green time that account for conflicting modes of travel. The goal is to identify strategies that are effective at reducing the number of phase failures caused by blocked street segments downstream despite limitations set by pedestrian timings or rail preemptions.

Language

  • English

Project

  • Status: Active
  • Funding: $50000
  • Contract Numbers:

    69A3551947136

    79075-00-B

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    National Institute for Congestion Reduction

    University of South Florida
    Tampa, FL  United States  33620
  • Managing Organizations:

    National Institute for Congestion Reduction

    University of South Florida
    Tampa, FL  United States  33620
  • Project Managers:

    Zhang, Yu

  • Performing Organizations:

    Texas A&M Transportation Institute

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Florence, David

  • Start Date: 20230201
  • Expected Completion Date: 20230831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01879203
  • Record Type: Research project
  • Source Agency: National Institute for Congestion Reduction
  • Contract Numbers: 69A3551947136, 79075-00-B
  • Files: UTC, RIP
  • Created Date: Apr 14 2023 4:45PM