DYNAMIC ROUTING DECISIONS FOR COMMERCIAL VEHICLE OPERATIONS BASED ON REAL-TIME TRAFFIC CONDITIONS

The application of the ITS (Intelligent Transportation Systems) technologies to facilitate freight mobility requires dynamic routing decisions to reduce operational costs and enhance service levels. While most route planning or scheduling methods studied in the literature assume fixed or static travel times of the networks, this paper attempts to focus on the dynamic routing decisions in response to the real-time information. A microscopic traffic simulation model coupled with a link-to-link shortest path searching with turning penalties is suggested and developed to evaluate the potential benefits of the dynamic routing decisions, which considers both updated link travel times and detected incident conditions. The simulation results are described and discussed in this paper. Some interesting issues for future research needs are recommended. This research will help logistics companies to assess the benefits of the routing advisory systems for their day-to-day operations

  • Supplemental Notes:
    • Publication Date: 2003. Transportation Research Board, Washington DC. Remarks: Paper prepared for presentation at the 82nd annual meeting of the Transportation Research Board, Washington, D.C., January 2003. Format: CD ROM
  • Corporate Authors:

    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 Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814

    University of California, Berkeley

    Department of Electrical Engineering and Computer Sciences
    Berkeley, CA  United States  94720
  • Authors:
    • Wang, Hao
    • Lee, Der-Horng
    • Cheu, Ruey Long
  • Conference:
  • Date: 2003

Language

  • English

Media Info

  • Pagination: 19 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00941665
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH, STATEDOT
  • Created Date: May 1 2003 12:00AM