单路口信号灯模糊-遗传算法优化配时研究

介绍了一种单路口信号灯模糊-遗传算法优化配时方法,把路口一个周期内车辆平均延误作为目标函数,用线性预估方法,根据上一周期和本周期的车流量预估下一个周期的车流量,把预估车流量和前两个周期的车流变化作为输入量,用模糊控制器推算出下一个周期的时间长度,然后用遗传算法优化目标函数,从而得到最优配时方案。计算机仿真结果表明,模糊-遗传算法优化性能良好。

The Research on the Assignment of Traffic Signal in Isolated Intersection Based on Fuzzy-Genetic Algorithms Optimizing

This paper introduces a new method of the assignment of traffic signal in isolated intersection based on fuzzy-genetic algorithms. The objective function is the average delay time which is related to the time length in each phase in isolated intersection in one cycle. The traffic flows of the next cycle may be pre-estimated by the use of linear pre-estimation method through using data of the traffic flows in the current cycle and the cycle before. The result and the difference between the two cycles may be used as the input of the fuzzy controller, by which the length of the next cycle may be got. At last, we find the optimal time length of each phase in the next cycle by minimizing the objective function through GA. The result shows that the method is effective.