STATISTICAL EVALUATION OF I-4 TRAFFIC PREDICTION SYSTEM

Short-term traffic prediction systems have received considerable attention in the past few years as a means to support advanced traveler information and traffic management systems. Predictive information allows transportation system users to make better trip decisions at the pre-trip planning stage and en-route. This paper presents a comprehensive statistical analysis of the traffic prediction system performance implemented on the 40-mile corridor of I-4 in Orlando, Florida. The system was evaluated under a wide range of traffic conditions and various model parameters. The prediction performance in terms of prediction errors was examined using both link-based and path-based approaches

• 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:
  • Ishak, Sherif
  • Al-Deek, Haitham M
• Conference:
  • Transportation Research Board 82nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2003-1-12 to 2003-1-16
• Date: 2003

Language

• English

Media Info

• Pagination: 22 p.

Subject/Index Terms

• TRT Terms: Freeways; Technology assessment; Traffic estimation
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 00944317
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, STATEDOT
• Created Date: Jul 3 2003 12:00AM