Optimizing control strategies of traffic lights by systematic and scientific approaches

To ensure that vehicles can travel across crossroads smoothly, this paper analyzes and discusses a smart fuzzy control system of traffic lights by integrating radio frequency identification and sensor technologies. It gives the traffic signal control and control analysis research utilizing the method of system science, and gives the classification of control mode, control principle, control strategies and the study of control strategies and control method, and gives the algorithm process. So as to reduce the waiting time of vehicles in crossroads, improve the efficiency of transport network and ensure efficient circulation of the entire transport system. Moreover, basic data can be obtained for long-term transportation forecast of this intersection from the traffic information including vehicle speed, vehicle models and traffic volume promptly grasped by vehicle tags, which is of great instructive importance for smart traffic control.