摘要
提出一种城市主干路交通流多目标优化控制方法 ,分析了多目标优化的性能指标及其约束条件 .用线性预估方法预估单个交叉路口下一周期的车流量 ,模糊推算单个路口周期大小 ,用遗传算法优化平均车辆延误 ,获得每个路口的绿信比 ,在此基础上 ,再用遗传算法优化整条主干路的交通流量 ,获得主干路统一周期 ,最后 ,将周期的值根据绿信比分配到每个路口的各个相位 ,控制信号灯的转换 .仿真结果表明该方法优化性能良好 。
A multi-objective optimizing control method for the traffic flows on urban main road is introduced. And the multi-objective optimal property index with its constraints is presented. The traffic flow of the next cycle is pre-estimated by using linear pre-estimation method in isolated intersection. The cycle is inferred by using fuzzy inference method. Then the average delay time in the isolated intersection and the traffic flows on the main road can be optimized by using GA (genetic algorithms) to obtain the value of split and the common cycle. In the end, this cycle is distributed to each phase according to the split to control the traffic lamps. The simulation result shows that the method is effective.
出处
《山东大学学报（工学版）》
CAS
2004年第3期72-76,共5页
Journal of Shandong University（Engineering Science）
关键词
交通流
模糊推理
遗传算法
多目标优化
traffic flows
fuzzy inference
genetic algorithms
multi-objective optimization
