Machine Vision Based Traffic-Adjusted Intersection Signal Controlby Eddie Y. J. Chou, The Univ of Toledo, Toledo, United States,
Vaneet Sethi, The Univ of Toledo, Toledo, United States,
Document Type: Proceeding Paper
Abstract: This paper describes some of the available machine vision systems and how they can be effectively used for traffic control at an intersection. A set of rules have been defined which make use of the various parameters obtained from the imaging system and allocated the optimum signal timings to the different phases. The overall efficiency of the traffic control system would still hinge on these predefined rules.
Subject Headings: Traffic signals | Intersections | Equipment and machinery | Imaging techniques | Control systems | Signal processing
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