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http://dx.doi.org/10.9708/jksci/2012.17.11.019

A Hybrid Inference System for Efficiently Controlling Reversible Lane  

Kwon, Hee-Chul (Dept. of Industrial Engineering, Gachon University)
Yoo, Jung-Sang (Dept. of Industrial Engineering, Gachon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.11, 2012 , pp. 19-26 More about this Journal
Abstract
Reversible lanes in urban intersections is used to efficiently control vehicles, reduce traffic congestion and increase the capacity of a roadway. But by far traffic control systems in urban intersections are simple and manually operated by police officers. In this study, we present a hybrid algorithm that intelligently resolve the moving direction of reversible lanes to efficiently manage the flow of traffic at intersection. The proposed algorithm consists of three stages:(i) fuzzy inference method to get the efficiency of moving direction, (ii) a provisional decision whether to change the reversible lane to different direction, (iii) a final evaluation criterion for changing the directions of the reversible lanes. The fuzzy inference results of efficiency are shown by using matlab application.
Keywords
Reversible Lane; Intersections; Fuzzy Inference; Rule based; Context Information;
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Times Cited By KSCI : 1  (Citation Analysis)
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