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http://dx.doi.org/10.5302/J.ICROS.2007.13.4.352

Modeling and Control of Intersection Network using Real-Time Fuzzy Temporal Logic Framework  

Kim, Jung-Chul (전북대학교 메카트로닉스학과)
Lee, Won-Hyok (원광대학교 전기전자 및 정보공학부)
Kim, Jin-Kwon (원광대학교 전기전자 및 정보공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.4, 2007 , pp. 352-357 More about this Journal
Abstract
This paper deals with modeling method and application of Fuzzy Discrete Event System(FDES). FDES have characteristics which Crisp Discrete Event System(CDES) can't deals with and is constituted with the events that is determined by vague and uncertain judgement like biomedical or traffic control. We proposed Real-time Fuzzy Temporal Logic Framework(RFTLF) to model Fuzzy Discrete Event System. It combines Temporal Logic Framework with Fuzzy Theory. We represented the model of traffic signal systems for intersection to have the property of Fuzzy Discrete Event System with Real-time Fuzzy Temporal Logic Framework and designed a traffic signal controller for smooth traffic flow. Moreover, we proposed the method to find the minimum-time route to reach the desired destination with information obtained in each intersection. In order to evaluate the performance of Real-time Fuzzy Temporal Logic Framework model proposed in this paper, we simulated unit-time extension traffic signal controller model of the latest signal control method on the same condition.
Keywords
Crisp Discrete Event System(CDES); Fuzzy Discrete Event System(FDES); fuzzy theory; Real-time Fuzzy Temporal Logic Framework(RFTLF); traffic system; intersection network;
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