基于双向并行灾变粒子群优化算法的城市环路交通协调控制系统  

Urban loop-road traffic-coordination-control system based on TWP-PSO

作　　者：马昌喜[1] 钱勇生[1] 王春雷[1] 

机构地区：[1]兰州交通大学交通运输学院,兰州730070

出　　处：《计算机应用》2007年第11期2640-2642,共3页journal of Computer Applications

基　　金：公安部应用创新计划项目(2006YYCXGSSS7021)

摘　　要：根据我国部分城市道路网包含多条环路的特点,设计了一种双向并行灾变粒子群优化算法的城市环路交通协调控制系统。该系统以路网中的闭合环路作为控制子区,采用三层递阶分布式结构和双向并行灾变粒子群优化,分阶段优化控制周期、相位差和绿信比,并对不同闭合环路进行协调控制形成预选方案。通过系统设定的面控率进行判断、选择,最终确定信号控制方案。示例验证结果表明该控制系统能有效减少区域车辆总延误,减少停车次数。According to the loop characteristic of urban road network in some areas of our country, an urban loop-road traffic-coordination-control system based on two-way parallel particle swarm optimization （TWP-PSO） was proposed. In this system, the control sub-area was closed loop road in road network, a three-level stepped distributed construction and the TWP- PSO algorithm were adopted, and the cycle, offsets and splits were optimized hierarchically, then the preset scheme was formed by cooperative controlling for different closed loops. The final signal control project was determined by judgment and choice from surface controlling rate of system hypothesis. The result indicates that the control system can reduce delay and the stopping rate effectively in the region.

关 键 词：城市环路交通控制 三层递阶分布式结构 双向并行灾变粒子群优化 面控率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.9[自动化与计算机技术—控制科学与工程]