TITAN: A TRAFFIC MEASUREMENT SYSTEM USING IMAGE PROCESSING TECHNIQUES. SECOND INTERNATIONAL CONFERENCE ON ROAD TRAFFIC MONITORING

This article describes algorithms developed to provide models of traffic flow under various light conditions. They have been developed using traffic images collected from various scenes covering 100-250 m of a 3 three lanes freeway. Pictures can be front or rear views. The algorithms cope with the possibility of using remote controlled cameras. This means that the system includes features able to re-calibrate the algorithms and to detect the lanes if an operator has moved the camera. Different luminance and traffic conditions are considered: (a) daylight luminance and average traffic concentration; (B) daylight luminance and saturated traffic; (c) nocturnal traffic. Because of a previous publication on this subject, emphasis is made here upon a new "lane detection" module, analysis of dense traffic and analysis of nocturnal traffic. In the case of light traffic the following macroscopic measurements can be obtained: concentration, volume, time and space mean speed. All the microscopic measurements which can be derived from vehicle trajectories, can also be performed. In the case of congested traffic only spatial occupancy (proportion of length of road occupied by vehicles) and flow speed can be obtained. (TRRL)

  • Availability:
  • Corporate Authors:

    Institution of Electrical Engineers

    Savoy Place
    London WC2R 0BL, NY  England  10016-5997
  • Authors:
    • Blosseville, J M
    • Krafft, C
    • Lenoir, F
    • MOTYKA, V
  • Publication Date: 1989

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00493056
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 0-85296373-4
  • Files: ITRD, TRIS
  • Created Date: May 31 1990 12:00AM