Demand-Responsive Decentralized Urban Traffic Control. Part I: Single-Intersection Policies

Common logic as well as analytical studies indicate that demand-responsive traffic control can very significantly improve urban street network performance. Yet effective traffic-responsive control has eluded transportation system researchers for many years--the main stumbling blocks being the inadequacy of predicted data from past traffic behavior and the unmet requirements for real-time optimal control techniques. This study develops innovative approaches to the urban traffic control problem using on-line traffic models which relax the reliance on predicted data, and decentralized optimization strategies which are amenable to real-time execution. The new methodologies are particularly suited for implementation via existing microprocessor technologies. This report presents the studies undertaken and results achieved in Phase I of the research. It describes in detail the development and testing of models and strategies for real-time computation of optimal control policies for single intersections. These strategies lay a foundation for the establishment of demand-responsive decentralized urban traffic control on a system-wide basis.

  • Corporate Authors:

    University of Lowell Research Foundation

    450 Aiken Street
    Lowell, MA  United States  01854

    Department of Transportation

    Research and Special Programs Administration
    1200 New Jersey Avenue, SE
    Washington, DC    20590
  • Authors:
    • Gartner, Nathan H
  • Publication Date: 1982-2


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 100p

Subject/Index Terms

Filing Info

  • Accession Number: 01601841
  • Record Type: Publication
  • Report/Paper Numbers: DOT /RSPA/DPB -50/81/24, ULRF-05-2998-l
  • Contract Numbers: DOT-RC-92015
  • Files: TRIS, ATRI, USDOT
  • Created Date: Jun 10 2016 3:46PM