Derivation of Advanced Traffic Parameters Through Video Imaging

Image sensing technology has recently been demonstrated to be a cost-effective tool in detecting traffic parameters. Various operational tests have demonstrated imaging sensors as practical alternatives to conventional sensors for signalized intersection control and incident detection. Network-wide,...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 30; no. 8; pp. 975 - 980
Main Authors Michalopoulos, Panos G., Panda, Durga P.
Format Journal Article
LanguageEnglish
Published 01.06.1997
Subjects
Adaptive Control
Computer Vision
Detection Systems
Machine Recognition
Tracking
Traffic Control
Traffic Control
Tracking
Computer Vision
Adaptive Control
Machine Recognition
Detection Systems
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Summary:Image sensing technology has recently been demonstrated to be a cost-effective tool in detecting traffic parameters. Various operational tests have demonstrated imaging sensors as practical alternatives to conventional sensors for signalized intersection control and incident detection. Network-wide, intelligent traffic management, however, requires advanced measurements to extract additional traffic parameters for freeway and ramp control, to manage traffic on priority corridors, to control traffic in interconnected urban street networks, and to optimize the total network traffic flow involving freeways, priority corridors, and signalized intersections. The Federal Highway administration recently funded Image Sensing Systems, Inc. for extending its video sensor technology to provide more traffic information.
ISSN:1474-6670
DOI:10.1016/S1474-6670(17)43947-4