Proactive Traffic Signal Timing and Coordination for Congestion Mitigation on Arterial Roads

The rapid growth of urban passenger cars and freight volumes results in serious traffic congestion in many cities of Texas. The congestion not only causes more delay in daily commutes but also increases risk of incidents, as well as greenhouse gas emissions and fuel consumption. Recently, signal phasing and time control on arterial roads has attracted intensive research and implementation attention due to its advancement on direct traffic management and coordination. With precise loop-detecting technologies and/or increasing numbers of connected vehicles, signals are now able to interact with real-time traffic conditions and to be operated more proactively with traffic prediction models to mitigate road congestion and enhance the transportation network efficiency. The proposed innovation entails integrating traffic signals with various participants and infrastructures to develop a fully collaborative signal control system to maximize the network performance and minimize road congestion in the vicinity of intersections. The research leverages signal controls with recent advances in communications among detectors, connected vehicles, and signals to develop a proactive signal control system. The levers consider the following components: (a) network monitoring and prediction, (b) individual signal operation, and (c) signal coordination. The contractor anticipates that the project will save travel costs due to congestion of over $5.5 million in the next 10 years.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Jensen, Darrin

  • Performing Organizations:

    Lamar University

  • Principal Investigators:

    Wu, Xing

  • Start Date: 20160120
  • Expected Completion Date: 20161231
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01618961
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-6920
  • Files: RiP, STATEDOT
  • Created Date: Dec 20 2016 12:17PM