ANTICIPATORY TRAFFIC MODELING AND ROUTE GUIDANCE IN INTELLIGENT VEHICLE- HIGHWAY SYSTEMS

This paper provides a framework for improving the performance of existing traffic networks by providing real-time route guidance based on traffic conditions changing dynamically in real time and anticipatory projections of short-term future traffic conditions. The value of these projections is that they tend to route vehicles away from an area which is not currently congested but is predicted to be congested by the time the driver would arrive in the area. A number of research issues are identified upon which implementation of the anticipatory model will depend.

• Supplemental Notes:
  • Publication Date: 1990 Published By: University of Michigan, Transportation Research Institute, Ann Arbor, Mich.
• Corporate Authors:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, MI  United States  48109-2150
• Authors:
  • Kaufman, David E
  • Smith, Robert Little
  • Lee, James
• Publication Date: 1990

Language

• English

Media Info

• Pagination: 14 p.
• Serial:
  • IVHS technical report
  • Publisher: University of Michigan Transportation Research Institute

Subject/Index Terms

• TRT Terms: Real time information; Route guidance; Simulation
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00772172
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: IVHS-TR-90-2
• Files: PATH
• Created Date: Nov 17 1999 12:00AM