Framework of Adaptive Intersection Traffic Control Strategy for Urban Traffic Network Subjected to Disruptions

For urban communities, congestion at traffic network poses serious societal and economical threats. In recent years, various advanced traffic control strategies, including Intelligent Transportation System (ITS)-based signal control plans, have been developed to mitigate the urban congestion. However, most of existing studies are limited to recurrent congestions at normal driving conditions or single intersection optimization during incidents. Urban traffic network experiences complex disruptions due to traffic crashes and adverse weather events, under which the induced congestion and deteriorated traffic performance become hard to be assessed or predicted. As a result, traditional traffic control strategy at intersections do not meet the needs by offering optimal and timely mitigation results which are adaptive to specific disruptions. Moreover, single-intersection strategy may not offer the best solution for the whole urban traffic network and some adaptive strategies which can handle the needs at different spatial and temporal scales are desired. This study will develop a new traffic performance assessment and adaptive traffic control strategy framework which is adaptive to specific disruptions and offers multiple optimization plan for both single intersections and the whole network. The proposed framework, once developed, will help building safer and more efficient urban traffic network and more resilient transportation against various disruptions from hazards.


  • English


  • Status: Completed
  • Funding: $110000
  • 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:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Colorado State University

    Department of Civil and Environmental Engineering
    Campus Delivery 1372
    Fort Collins, CO  United States  80523
  • Principal Investigators:

    Chen, Suren

  • Start Date: 20211217
  • Expected Completion Date: 20240731
  • Actual Completion Date: 20231006
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-679

Subject/Index Terms

Filing Info

  • Accession Number: 01832303
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Jan 6 2022 7:03PM