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Modeling and Control of Intersection Network using Real-Time Fuzzy Temporal Logic Framework
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 Title & Authors
Modeling and Control of Intersection Network using Real-Time Fuzzy Temporal Logic Framework
Kim, Jung-Chul; Lee, Won-Hyok; Kim, Jin-Kwon;
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 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;
 Language
Korean
 Cited by
1.
LiDAR 기반 차량-인프라 연계 상황인지를 통한 사고다발지역에서의 차량 종방향 능동제어 시스템 연구,김재환;이제욱;윤복중;박재웅;김정하;

제어로봇시스템학회논문지, 2012. vol.18. 5, pp.453-464 crossref(new window)
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