摘要
针对城市道路交叉口的交通流特性,建立无冲突车流组合.并对各优化目标采用变化的加权系数建立多目标综合优化模型.在此基础上,提出以交叉口车流组合(映射为交叉口相位)为小生境种群运动特征分量的种群小生境粒子群优化算法进行交叉口相位优化和配时优化.最后对重庆市某交叉路口进行实例研究,结果表明,该方法降低了交叉口的延误时间和停车次数,使交叉口得到了优化控制.
According to the traffic flow characteristics at intersection of city way,all non-conflicting combinations of traffic flows are found and the multi-objective optimization model is established to optimize weighting-coefficients of every object. Then the particle swarm optimization algorithm is used to obtain phase and signal timing,in which traffic flow composition （mapping phase） is seen as movement feature component of species niching.Finally a case study with an intersection in Chongqing is given.The results show that the delay and stops at intersection are all reduced,and intersection is optimized.
出处
《信息与控制》
CSCD
北大核心
2011年第1期115-118,123,共5页
Information and Control
基金
重庆市科技攻关项目(2008AC6074)
交通部科技项目(2008-319-814-060)
中国人力资源和社会保障部2008年度留学人员科技活动择优资助项目
关键词
交通信号控制
相位优化
多目标优化
种群小生境
粒子群优化算法
traffic signal control
phase optimization
multiobjective optimization
species niching
particle swarm optimization algorithm（PSO）
