粒子群优化算法在交通信号配时中的应用

Application of Particle Swarm Optimization Algorithm to Traffic Signal Timing

以交叉口车辆平均延误和停车次数最小为目标,建立信号控制交叉口配时模型,运用粒子群优化算法求解该模型,得到各相位最优配时参数绿信比和周期时长。以某一交叉口为实例,将此方法配时结果与经典配时方法的结果进行比较,交叉口车辆停车次数略有上升,通行能力略有降低,但是车辆的平均延误时间大大降低。这表明运用粒子群优化算法解决交叉口配时问题是有效和可行的。

Considering the vehicle average delay and number of stops minimized at an intersection as a goal,the model of signal timing is constructed. In order to obtain the optimal solution to this signal timing model,a new global stochastic searching strategy-particle swarm optimization algorithm is used to solve the model. Applying this model to signal timing of an intersection, and the result is compared to that of classical methods,i, e. ,Webster model. Simulation experiments proved that our proposed method can decrease significantly the vehicle delay,although the number of stops increased slightly and the traffic capacity decreased slightly at the intersection. Therefore ,our proposed model and particle swarm optimization algorithm is validity and feasibility for signal timing.