基于卡尔曼滤波理论的实时交通信号控制研究

Real-time Traffic Signal Control Based on Kalman Filtering Theory

针对城市交通信号灯单独控制,以及信号配时固定等问题,提出一种基于卡尔曼滤波理论的实时交通信号控制方法。该方法利用卡尔曼滤波理论,对通过道路交叉口下阶段交通流量进行预测,并更新交通信号配时。通过对交叉口高峰小时交通流量实时调研,采用卡尔曼滤波理论预测交通流量后,对信号配时进行实时优化,并采用VISSIM软件对此交叉口进行仿真,仿真结果表明,车辆排队长度缩短,停车次数下降,通行效率得到大幅提高。

Aimied at the problem that individual control of urban traffic lights and stable signal timing. Pro-posed a real timing control method of traffic lights which based on Kalman filter. This method use Kalman filter topredict the next time traffic flows and then update the signal timing. By field researching the traffic flow of intersec-tion in peak hour and predicting the traffic flow. Then update the signal timing. Meanwhile using the VISSIM tosimulate the intersection. The result of the simulation shows that the length of vehicle queue decreased significantlyand the number of stops dropped. The efficiency of access has been greatly improved.