Machine Vision Based Traffic-Adjusted Intersection Signal Control

by Eddie Y. J. Chou, The Univ of Toledo, Toledo, United States,
Vaneet Sethi, The Univ of Toledo, Toledo, United States,

Document Type: Proceeding Paper

Part of: Digital Image Processing: Techniques and Applications in Civil Engineering


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 | Computer vision and image processing | Traffic management | Traffic engineering | Signal processing | Equipment and machinery

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