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Design and optimization of urban signal fuzzy controller based on IQPSO
Li W(黎威); Bi X(毕欣); Cao YX(曹云侠); Du JS(杜劲松)
作者部门智能检测与装备研究室
会议名称2013 2nd International Conference on Mechatronics and Computational Mechanics, ICMCM 2013
会议日期December 30-31, 2013
会议地点Frankfurt, Germany
会议主办者IEEE CIS
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications
出版地Zurich-Durnten, Switzerland
2013
页码152-155
收录类别EI
EI收录号20141017436745
产权排序1
ISSN号1660-9336
ISBN号978-3-03835-029-3
关键词Algorithms Computational Mechanics Fuzzy Control Particle Swarm Optimization (Pso) Traffic Control
摘要In order to overcome the shortcomings of traffic signal fixed-time control method, a fuzzy control algorithm for urban traffic signal is proposed. The signal phase switching order is adjustable. The improved quantum particle swarm optimization(QPSO) is also introduced to optimize fuzzy control rules of traffic signal controller. Take four-phase traffic signal commonly used in current practice for example. Compared with traffic signal fixed-time control and single fuzzy control method, the control method put forward in this paper can reduce the vehicles' average delay time in junction. The simulation results show that the proposed algorithm is proved to be an effective and practicable method for urban traffic self-adaptive control.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/14563
专题智能检测与装备研究室
推荐引用方式
GB/T 7714
Li W,Bi X,Cao YX,et al. Design and optimization of urban signal fuzzy controller based on IQPSO[C]//IEEE CIS. Zurich-Durnten, Switzerland:Trans Tech Publications,2013:152-155.
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