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基于模糊控制理论的交通信号控制算法研究
引用本文:李欣,李海华.基于模糊控制理论的交通信号控制算法研究[J].国外电子元器件,2012(2):75-77,80.
作者姓名:李欣  李海华
作者单位:哈尔滨理工大学测控技术与通信工程学院,黑龙江哈尔滨150080
摘    要:造成交通拥挤往往突出表现在道路的交叉口处,在综合了模糊控制技术和城市信号交叉口交通信号控制技术基础上,针对多路口交通控制的特征及实际交通状况,对已有模糊控制算法进行了改进,在单路口模糊控制研究的基础上,研究了基于相序优化模糊控制的城市区域交通信号控制系统。此方法不需要建立复杂的交通流模型,对城市交通控制系统实施模糊控制,可以有效地解决交通信号控制过程中复杂性和随机性难题,从而对绿灯信号的调整做出更合理的匹配,提高交叉路口的通行率近20%。

关 键 词:智能交通系统  模糊控制  相位  相序优化

Research on traffic signal control algorithm based on fuzzy control theory
LI Xin,LI Hai-hua.Research on traffic signal control algorithm based on fuzzy control theory[J].International Electronic Elements,2012(2):75-77,80.
Authors:LI Xin  LI Hai-hua
Affiliation:(College of Measure-control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150080,China)
Abstract:Cause traffic congestion often outstanding performance at the intersection of a road,by comprehensive application of fuzzy control technology and the urban traffic signal control technology,according to the characteristics of the crossing traffic and the actual traffic condition,the existing fuzzy control algorithm was improved,on the basis of study of a single intersection fuzzy control,design a urban area traffic signal control system based on the fuzzy control sequence optimization.This method does not need to build complex traffic flow model of urban traffic control system,fuzzy control,can effectively solve the traffic signal control process complexity and randomness,and the green signal adjustment to make a more reasonable matching,improve the pass rate of intersection close to 20%.
Keywords:ntelligent transportation system  fuzzy control  phase  sequence optimization
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