相邻交叉路口神经网络模糊协调控制的研究

以城市相邻交叉路口为研究对象,提出了一种相邻交叉路口的神经网络模糊控制的方法.将相邻交叉路口看作一个大系统,第1级控制各个单交叉路口,调整各方向的绿信比;第2级协调单元利用各路口测得的交通流数据,确定相邻交叉路口的周期和相位差.应用MATLAB编写了仿真程序,仿真结果表明,该方法可以有效减少相邻交叉路口车辆的平均延误.

Study of fuzzy neural network coordination control about adjacent traffic intersections

A method of adjacent traffic intersections based on fuzzy neural network coordination control is presented.In this paper the adjacent traffic intersections are considered as a large scale system.The first-level controls every single intersection and adjusts the ratio of green singal in different directions.The second-level determines the period and phase difference of adjacent traffic intersection using traffic flow data from different directions.MATLAB is applied to compile corresponding simulation program.The simulation result shows that the method can decrease the average delay of the vehicles at adjacent intersections.