摘要
提出了一种基于粒子群的交通信号离线配时优化方法,采用实数编码表示区域内各信号交叉口的各相位绿灯时间,不同的配时方案对应于不同的粒子,粒子的适应度利用微观交通模拟获取的总延迟时间进行评价,最后得到的具有最小延迟时间的粒子即为最优配时方案。与已有的离线配时技术相比,提供了一种编码形式简单、参数较少、计算速度较快的信号配时智能优化方法。
An optimizing method of traffic signal off-line timing based on particle swarm algorithm is proposed.Real-coded plan is used to all phases＇ green time of every signalized intersection in traffic network ,and different timing plan is correspondent to different particle,and the fitness of a particle is evaluated through total delay time of microscopic traffic simulation,and finally the particle with minimal delay time is the optimal timing plan.Compared with other existing signal off-line timing methods,this paper provides an intelligent optimizing method with simpler coding,less parameters and more fast calculating speed.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第11期13-15,22,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.40701138)
国家高技术研究发展计划(863)(theNational High- Tech Research and Development Plan of China under Grant No.2006AA12Z215)
关键词
交通信号离线配时
粒子群优化
微观交通模拟
traffic signal off-line timing
particle swarm optimization
microscopic traffic simulation
