Estimation of Travel Time Distribution and Detection of Incidents Based on Automatic Vehicle Classification

In this research, the authors study the problem of travel time estimation along a freeway section, based on data derived from vehicle detectors at multiple locations. The problem is viewed as one of pattern recognition. Algorithms are derived and used to estimate the distribution of the travel time between the detectors. The most promising algorithm is a dynamic programming based algorithm based on sequence matching techniques.

• Record URL:
  • https://merritt.cdlib.org/d/ark%3A%2F13030%2Fm59d021k/1/producer%2F39627751.pdf
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/39627751
• Corporate Authors:

  University of California, Berkeley

  Department of Electrical Engineering and Computer Sciences
  Berkeley, CA  United States  94720

  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
• Authors:
  • Anantharam, V
• Publication Date: 1998-6

Language

• English

Media Info

• Media Type: Digital/other
• Pagination: [21] p.
• Serial:
  • PATH Working Paper
  • Publisher: University of California, Berkeley
  • ISSN: 1055-1417

Subject/Index Terms

• TRT Terms: Automatic incident detection; Automatic vehicle classification; Pattern recognition systems; Travel time
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00776597
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: UCB-ITS-PWP-98-12
• Files: PATH, CALTRANS, TRIS, ATRI, STATEDOT
• Created Date: Nov 17 1999 12:00AM