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GAO Jun-xia, LI Jian-geng, CHEN Yang-zhou, ZHAO Xiao-hua. Optimize Design and Simulation of Traffic Signal Two Level Fuzzy Control System[J]. Journal of Beijing University of Technology, 2009, 35(1): 19-24.
Citation: GAO Jun-xia, LI Jian-geng, CHEN Yang-zhou, ZHAO Xiao-hua. Optimize Design and Simulation of Traffic Signal Two Level Fuzzy Control System[J]. Journal of Beijing University of Technology, 2009, 35(1): 19-24.
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Optimize Design and Simulation of Traffic Signal Two Level Fuzzy Control System

  • College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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  • Received Date: July 04, 2007
  • Available Online: December 09, 2022
    Graphical Abstract
    • Abstract
  • Two-stage fuzzy controller,which is easy to acquire fuzzy rules and can greatly decrease the number of fuzzy rules,is very suitable to complex urban intersection control.But it still presents a difficulty for deciding all the membership functions correctly only by human experience.There for,to solve this problem, a technique using genetic algorithm to modify its fuzzy membership functions is proposed.For a single urban intersection with four-phase,much simulation is processed.Simulation result shows that this method can effectively decrease the average delaying time in the intersection and is superior to the conventional method.
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    • References (8)
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