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Optimization of Traffic Signals Using Intelligent Control Methods

  • 김근범 (연세대학교 전기공학과) ;
  • 김경근 (연세대학교 전기공학과) ;
  • 장욱 (연세대학교 전기공학과) ;
  • 박광성 (연세대학교 전기공학과) ;
  • 박진배 (연세대학교 전기공학과)
  • Kim, Keun-Bum (Department of Electrical Engineering, Yonsei University) ;
  • Kim, Kyung-Keun (Department of Electrical Engineering, Yonsei University) ;
  • Chang, Wook (Department of Electrical Engineering, Yonsei University) ;
  • Park, Kwang-Sung (Department of Electrical Engineering, Yonsei University) ;
  • Park, Jin-Bae (Department of Electrical Engineering, Yonsei University)
  • 발행 : 1997.07.21

초록

The traffic congestion caused by the exploding increase of vehicles became one of the severest social problems. Among the various approaches to solve this problem, controlling the length of traffic signals appropriately according to the individual traffic situation would be the most plausible and cost-effective method. To design a traffic signal controller which has such a property as adaptive decision-making process, we adopt fuzzy logic control method(fuzzy traffic signal controller), Moreover, using genetic algorithms we obtain an optimized fuzzy traffic signal controller (GA-fuzzy traffic signal controller). To evaluate and validate the proposed fuzzy and GA-fuzzy traffic signal controller, simulation results are presented.

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