GPS based navigation and route guidance systems are becoming increasingly popular among bus operators, fleet managers and travelers. To provide this functionality, one has to have a GPS receiver, a digital map of the traveled network and software that can associate (match) the user's position with a location on the digital map. Matching the user's location has to be done even when the GPS location and the underlying digital map have inaccuracies and errors. There are several approaches for solving this map matching task. Some only match the user's location to the nearest street node while others are able to locate the user at specific location on the traveled street segment. In this paper a topologically based matching procedure is presented. The procedure was tested with low quality GPS data to assess its robustness. The performance of the algorithms was found to produce outstanding results

  • Supplemental Notes:
    • Publication Date: 2002. Transportation Research Board, Washington DC. Remarks: Paper 02-3017 prepared for presentation at the 81st annual meeting of the Transportation Research Board, Washington, D.C. January 2002. Format: CD ROM
  • Corporate Authors:

    Jamiat al-Imarat al-Arabiyah al-Muttahidah


    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 Minnesota, Twin Cities

    Department of Civil Engineering, 500 Pillsbury Drive, SE
    Minneapolis, MN  United States  55455

    University of California, Irvine

    Institute of Transportation Studies
    Irvine, CA  United States  92697

    Joint Transportation Research Program (Ind.)


    Insurance Institute for Highway Safety

    1005 North Glebe Road
    Arlington, VA  United States  22201

    Texas Transportation Institute

    Texas A&M University System, 3135 TAMU
    College Station, TX  United States  77843-3135


    CHICAGO, IL  United States 

    University of Utah, Salt Lake City

    Utah Traffic Laboratory, 122 S Central Campus Drive
    Salt Lake City, UT  United States  84112

    University of Toronto

    Intelligent Transportation Systems Center
    Toronto, Ontario  Canada 

    University of Hawaii, Manoa

    Department of Civil Engineering, 2540 Dole Street, Holmes Hall 383
    Honolulu, HI  United States  96822
  • Authors:
    • Greenfeld, Joshua S
  • Conference:
  • Publication Date: 2002


  • English

Media Info

  • Pagination: 13 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00924562
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: May 30 2002 12:00AM