Evaluation of UDOT's Video Detection Systems: System's Performance in Various Test Conditions

Video detection systems have replaced the industry's standard inductive loops because they are easy to install, have flexible applications and their maintenance is cost-effective. These systems involve positioning cameras above traffic to capture images of passing vehicle. These images are analyzed by vision processor using application specific algorithms. Virtual loops/detection zones are superimposed on these images. The activation of these virtual loops signifies detection. The performance of this system under different environmental and light conditions, however, is still unknown. The generation of false and missed calls has reduced the accuracy of video detection systems. This study evaluates the performance of video detection systems in Utah.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    University of Utah, Salt Lake City

    Department of Civil and Environmental Engineering
    122 South Central Campus Drive, Suite 104
    Salt Lake City, UT  United States  84112

    Upper Great Plains Transportation Institute

    North Dakota State University
    1320 Albrecht Boulevard
    Fargo, ND  United States  581052

    Research and Innovative Technology Administration

    University Transportation Centers Program
    Washington, DC  United States  20590
  • Authors:
    • Martin, Peter T
    • Dharmavaram, Gayathri
    • Stevanovic, Aleksandar
  • Publication Date: 2004-12


  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Maps; References; Tables;
  • Pagination: 110p

Subject/Index Terms

Filing Info

  • Accession Number: 01683784
  • Record Type: Publication
  • Report/Paper Numbers: MPC-04-166
  • Contract Numbers: MPC-245
  • Created Date: Oct 22 2018 9:18AM