基于粒子群优化算法的多交叉口信号配时

Multi-cross signal timing based on particle swarm optimization algorithm

以城市道路多个单点信号控制交叉口组成的绿波系统为研究对象,对绿波系统的交叉口信号配时优化进行研究。通过对路段和干线机动车流进行协调控制设计,以西安市某两相邻交叉口晚高峰时段各进口道的交通量、通行能力、饱和流量以及各交叉口进口道的实际车均延误时间为约束,确定各交叉口的信号周期及各相位有效绿灯时长,使得干线延误量最小。设计了PSO算法的编码方式,分别采用PSO算法、灾变PSO算法和二阶振荡PSO算法对多交叉口交通信号配时进行优化计算。仿真实验表明,二阶振荡PSO算法在该实例中表现最优。

This paper studied the signal timing optimization based on green wave system composed of multiple urban single-point intersections.Considering the coordinated control of the route sections and trunk traffic flow,regarding the traffic volume,traffic capacity,saturation flow and average delay time of roads between some neighboring signal intersections at evening peak in Xi＇an as the restriction,determined signal period and effective green time,which led to the minimum of time delays in trunk line.In addition,designed a novel encoding method applied in PSO.At last made a comparison of optimization calculations for multi-intersections signal timing by PSO,calamity PSO and second-order oscillating PSO.The result shows that second-order oscillating PSO has the best performance.