COLLECTION OF VEHICLE ACTIVITY DATA BY VIDEO DETECTION FOR USE IN TRANSPORTATION PLANNING

In this paper, the authors examine how video data can be of benefit to transportation models. Focus is on the implementation of a Video Image Detection System (VIDS). The experience of using data collected from a commercially available system in Atlanta, Georgia is related. The authors compare the detected vehicle counts, classifications, and average speeds to true counts . The differences in the parameters are determined as a function of camera location and site conditions which constrain the accuracy of video detection. Suggestions are made regarding the use of video detected traffic parameters in model improvement.

• Supplemental Notes:
  • Publication Date: 2000
• Corporate Authors:

  Nanyang Technological University

  School of Electrical and Electronic Engineering
  ,   Singapore 

  University of Southampton. Dept. of Civil and Environmental Engineering

  ,    
• Authors:
  • Grant, Christopher
  • Gillis, Bret
  • Guensler, Randall L
• Publication Date: 2000

Language

• English

Media Info

• Pagination: p. 343-361
• Serial:
  • ITS journal. Vol. 5, no. 4
  • Publisher: Nanyang Technological University

Subject/Index Terms

• TRT Terms: Computer vision; Traffic surveillance
• Identifier Terms: AUTOSCOPE (Video vehicle detection system)

Filing Info

• Accession Number: 00799914
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, ATRI
• Created Date: Oct 12 2000 12:00AM