基于分布估计算法的单路口交通信号控制

针对遗传算法求解城市道路交叉口信号控制存在的主要问题,以四相位交叉路口为研究对象,建立了以信号周期内车辆延误总时间最短为目标函数,以各相位有效绿灯时间为控制变量的单路口交通信号优化模型.并分别以整数编码的PBIL算法和实数编码的EMNA算法两种典型分布估计算法求解单路口交通信号优化问题.仿真结果表明,与传统遗传算法相比,两种分布估计算法均可用更小的种群规模快速高效地求得最优解.

Estimation of Distribution Algorithm for Signal Timing Optimization of Isolated Intersection

Optimization the signal timing of the intersections is the key problem of the traffic signal control. For the purpose of reducing the traffic jam, optimization model for the four phases signal control of an isolated intersection is established, in which the total delay of vehicles is adopted as the objective function, and the effective green time in each phase as the control variables. Integer encoded PBIL algorithm and real number encoded EMNA algorithm are proposed to solve the traffic signal timing problem. The experimental results show that both the algorithms can get rational signal timing more effectively with less population size than that of the genetic algorithm.