中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Design and optimization of urban signal fuzzy controller based on IQPSO

文献类型:会议论文

作者Li W(黎威); Bi X(毕欣); Cao YX(曹云侠); Du JS(杜劲松)
出版日期2013
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
关键词Algorithms Computational mechanics Fuzzy control Particle swarm optimization (PSO) Traffic control
页码152-155
中文摘要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.
收录类别EI
产权排序1
会议主办者IEEE CIS
会议录Applied Mechanics and Materials
会议录出版者Trans Tech Publications
会议录出版地Zurich-Durnten, Switzerland
语种英语
ISSN号1660-9336
ISBN号978-3-03835-029-3
源URL[http://ir.sia.cn/handle/173321/14563]  
专题沈阳自动化研究所_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]. 见:2013 2nd International Conference on Mechatronics and Computational Mechanics, ICMCM 2013. Frankfurt, Germany. December 30-31, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。