This paper describes how travel time perception-based models can be used to identify potential impacts of advanced traveler information systems (ATIS). A specific model, based on iterative traffic simulation feedback, is used to explicitly identify traveler expectation based on familiarity with typical network congestion. Databases that are based on this familiarity are used to differentiate traveler response between a range of low precision and high precision information services.

  • Supplemental Notes:
    • Publication Date: 1998 Published By: IEEE Service Center, Piscataway, NJ
  • Corporate Authors:

    Rutgers University, New Brunswick

    Department of Civil and Environmental Engineering
    New Brunswick, NJ  United States  08903

    University of California, Berkeley

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

    Mitretek Systems

    3150 Fairview Park Drive
    Falls Church, VA  United States  22042

    ITT Systems

    1749 Old Meadow Road
    McLean, VA  United States  22102

    Virginia Polytechnic Institute and State University, Blacksburg

    Department of Agronomy
    Blacksburg, VA  United States  24061

    Institut de Recherche des Transports

    Avenue de General Malleret-Joinville, Boite Postale 28
    94 Arcueil,   France 
  • Authors:
    • Wunderlich, Karl E
  • Conference:
  • Publication Date: 1998


  • English

Media Info

  • Pagination: p. 3223-3227

Subject/Index Terms

Filing Info

  • Accession Number: 00777642
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Nov 17 1999 12:00AM