A FUZZY CONTROLLER OF TRAFFIC SYSTEMS AND ITS NEURAL NETWORK IMPLEMENTATION

In this paper, a neural network implemented fuzzy controller for single crossroad traffic signal control systems is presented, which is based on the summarization of the main characteristics of the traffic systems. The controller can cope with the fast changing of the arriving traffic flow and is suitable for all kinds of single crossroads and has a quite simple structure. The decision-making process is rapid as well as reasonable, with no need of any prediction of traffic flow. The simulation result is given, which verifies the effectiveness of this control method.