Improving Traffic Signal System Planning, Design and Management with Big-data-enhanced Automated Traffic Signal Performance Metrics (ATSPM) System

This project provides a guideline accompanied with the necessary software tools for the Texas Department of Transportation (TxDOT) and local agencies to better use the Automated Traffic Signal Performance Metrics System (ATSPM) in arterial traffic management. The ATSPM system came to traffic signal operations years ago and it can help agencies better understand arterial traffic signal performance. Many agencies are considering adopting the ATSPM systems because the ATSPM system(s) focuses on monitoring the traffic signal performance in the field. However, most traffic signal planning and design activities at present still rely on the traditional methods, such as Synchro, Highway Capacity Manual, etc. If agencies adopt different criteria between the planning/design stage and implementation stage, confusion will form and grow with the increase of ATSPM adoptions. To fill this gap, the research team plans to take a systematic approach to introduce the ATSPM concepts into all stages of traffic signal management. The research team will develop a series of software tools to establish a new "ATSPM-In-The-Loop" traffic signal simulation framework, accompanied by case studies that public agents or consultants can use to evaluate their future traffic signal timing plans in simulation before deployment. The outcomes of this project will nationally be the first of its kind.


  • English


  • Status: Active
  • Funding: $292010
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

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

    University of Texas at Arlington

    Box 19308
    Arlington, TX  United States  76019-0308
  • Project Managers:

    Dassi, Martin

  • Performing Organizations:

    University of Texas at Arlington

    Box 19308
    Arlington, TX  United States  76019-0308
  • Principal Investigators:

    Li, Taylor

  • Start Date: 20221114
  • Expected Completion Date: 20240831
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01894860
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-7160
  • Files: RIP, STATEDOT
  • Created Date: Sep 27 2023 5:15PM