THE NEED FOR SURVEILLANCE IN INTELLIGENT TRANSPORTATION SYSTEMS. PART TWO

This article is a continuation of a previous article (see PATH Database reference no. 11197) in which the author examined the the need for traffic surveillance and the parameters that need to be detected. In this article, he identifies one additional parameter vehicle class category, and discusses how some of the traffic related parameters can be measured. He gives an overview of some innovative ways that have been devised by PATH researchers to accurately measure travel time.

• Record URL:
  • https://merritt.cdlib.org/d/ark%3A%2F13030%2Fm5v428dz/1/producer%2FIntellimotionv6n2.pdf
• Record URL:
  • http://www.path.berkeley.edu/sites/default/files/documents/intel62_web.pdf
• 
• Supplemental Notes:
  • Publication Date: 1997
• Corporate Authors:

  California Polytechnic State University, San Luis Obispo

  Department of Computer Science
  1 Grand Avenue
  San Luis Obispo, CA  United States  93407

  California Department of Transportation

  Division of New Technology and Research, P.O. Box 942873
  Sacramento, CA  United States  94273-0001
• Authors:
  • Palen, Joe
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 1-3, 17
• Serial:
  • Intellimotion. Vol. 6, no. 2
  • Publisher: California Polytechnic State University, San Luis Obispo

Subject/Index Terms

• TRT Terms: Traffic surveillance

Filing Info

• Accession Number: 00775483
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, STATEDOT
• Created Date: Nov 17 1999 12:00AM