ADAPTIVE ROADWAY CONTROLLER FOR AUTOMATED HIGHWAY SYSTEM

In this paper, the authors propose a macroscopic traffic flow model for the mean speed evolution on a freeway where drivers track advisory speeds displayed on signal boards placed above the road. The model is derived from a microscopic longitudinal vehicle following model under a suitable assumption about the driver's behavior. For the advisory speeds calculation, the authors propose an adaptive controller which operates under parametric uncertainty.

  • Supplemental Notes:
    • Publication Date: 1996 Published By: IEEE Service Center, Piscataway NJ
  • Corporate Authors:

    Rossiiskaia akademiia nauk

    ,    

    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

    University of California, Berkeley

    Intelligent Machinges and Robotics Laboratory
    Berlkeley, CA  United States 

    University of California, Berkeley

    Department of Electrical Engineering and Computer Sciences
    Berkeley, CA  United States  94720
  • Authors:
    • Stotsky, A
  • Conference:
  • Publication Date: 1996

Language

  • English

Media Info

  • Pagination: p. 2277-2282

Subject/Index Terms

Filing Info

  • Accession Number: 00775166
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Nov 17 1999 12:00AM