Many intelligent transportation systems (ITS) depend for their success on the availability of timely and accurate estimates of prevailing and emerging traffic conditions. This necessitates a traffic prediction system that uses advanced traffic models to analyze data, especially real-time traffic data, from different sources. The estimates and predictions derived from such a system can be used to select proactive strategies for meeting various traffic control, management, and operation objectives. To address this need, the Federal Highway Administration initiated a Dynamic Traffic Assignment research program. The goal of this program was to develop a deployable real-time Traffic Estimation and Prediction System (TrEPS). Two TrEPS prototypes have been developed and are currently being evaluated. Further details are provided in this article.


  • English

Media Info

  • Features: Figures; References;
  • Pagination: p. 3-6, 40
  • Serial:
    • TR News
    • Issue Number: 208
    • Publisher: Transportation Research Board
    • ISSN: 0738-6826

Subject/Index Terms

Filing Info

  • Accession Number: 00794702
  • Record Type: Publication
  • Report/Paper Numbers: HS-043 073
  • Files: TRIS, TRB
  • Created Date: Jun 14 2000 12:00AM