Research on Intelligent Timing and Flow Regulation of Traffic Lights

Abstract

At present, most of the road traffic systems adopt static time allocation mode, that is, whether the traffic flow is in peak or low peak period, the time distribution period and traffic time of signal lights are fixed and constant. This time allocation method is very easy to cause traffic jam because it can not cope with the changeable real-time traffic situation. In order to solve the traffic congestion caused by the increase of traffic flow in a short time, a dynamic time regulation method of traffic lights is proposed to relieve the traffic pressure quickly. Firstly, the corresponding value of traffic flow and green light time is obtained by Webster algorithm. The dynamic optimization of signal timing is carried out with the reference of the queue length of vehicles, so that the green light time of traffic intersection becomes variable parameter. In the process of adjusting the traffic flow, the traditional PID algorithm is improved by adding the idea of variable target value, The actual output value of the vehicle adjusted each cycle at the previous intersection is taken as the target value of the next intersection adjustment, which can dynamically change the timing scheme with the change of the traffic flow, thus reducing the invalid green light time of the intersection to obtain the optimal timing regulation scheme, In this way, the traffic flow of each intersection can be adjusted reasonably and the final target value can be achieved. The experimental results show that when the traffic flow increases in a short time, the traffic jam will be caused by the static time distribution method in a short time. The time distribution and flow regulation method in this paper can adjust the traffic flow dynamically and effectively relieve the traffic pressure.