In this paper, the authors present a model predictive control (MPC) approach for optimally coordinating variable speed limits and ramp metering for highway traffic. Working with the premise that speed limits can increase the range in which ramp metering is useful, the objective is to minimize the total amount of time that vehicles spend in the network. An adapted version of the METANET model, which takes into account the variable speed limits, is used to predict the evolution of the traffic flows in the network. The coordinated control results in a network with less congestion, a higher outflow, and a lower total time spent. In addition, the receding horizon approach of MPC leads to an adaptive, online control strategy that automatically takes into account changes in the system parameters.

  • Supplemental Notes:
    • Publication Date: 2002. IEEE Service Center, Piscataway NJ
  • Corporate Authors:

    Polytechnic Institute of New York University, Brooklyn

    Department of Mechanical Engineering, 6 MetroTech Center
    Brooklyn, NY  United States  11201

    Honda Gijutsu Kenkyujo


    University of California, Berkeley

    Department of Mechanical Engineering
    Berkeley, CA  United States  94720-1740

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    California Polytechnic State University, San Luis Obispo

    Department of Electrical Engineering, 1 Grand Avenue
    San Luis Obispo, CA  United States  93407

    Technische Universiteit Delft


    University of Minnesota, Twin Cities

    Department of Mechanical Engineering, 111 Church Street, SE
    Minneapolis, MN  United States  55455

    DaimlerChrysler Powersystems


    Technische Universitat Darmstadt

  • Authors:
    • Hegyi, A
    • De Schutter, B
    • Hellendoorn, H
    • Boom, T van den
  • Conference:
  • Publication Date: 2002


  • English

Media Info

  • Pagination: p. 3600-3605

Subject/Index Terms

Filing Info

  • Accession Number: 00963554
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Oct 2 2003 12:00AM