System Monitoring of Auto Traffic

No matter where they form and why, queues are impactful to traffic, causing delay and increased accident potential. The overall goal of this effort is to explore methodologies for automatically detecting the development of queues in a street network. Additional objectives would be to determine the spread of the queue, the rate of spread, and identify their impact area. By automatically determining these parameters from real-time information, the next step of predictive management (not taken in this project) could be analyzed to proactively employ real-time strategies to minimize queue formation, spread, and impact. While any real-time analytics approach faces significant challenges, new research in big-data monitoring, assessment, and analysis techniques provide the premise for finding a practical real-time solution.


  • English


  • Status: Completed
  • Funding: $162667
  • Contract Numbers:




  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    University of South Florida, Tampa

    Center for Urban Transportation Research
    3650 Spectrum Boulevard
    Tampa, FL  United States  33612-9446
  • Project Managers:

    Li, Xiaopeng

  • Performing Organizations:

    Texas A&M Transportation Institute (TTI)

    400 Harvey Mitchell Parkway South
    Suite 300
    College Station, TX  United States  77845-4375

    University of California Berkeley

    Department of Civil and Environmental Engineering
    416C McLaughlin Hall
    Berkeley, California  United States  94720
  • Principal Investigators:

    Brydia, Robert

    Shen, Max

    Cassidy, Michael

  • Start Date: 20200901
  • Expected Completion Date: 20211031
  • Actual Completion Date: 20220421
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01751327
  • Record Type: Research project
  • Source Agency: National Institute for Congestion Reduction
  • Contract Numbers: 69A3551947136, 79070-00-B, 79070-00-C
  • Files: UTC, RIP
  • Created Date: Sep 4 2020 11:27AM