Rank Control System for Traffic Artery Based on Wireless Sensor and Fuzzy Neural Network

On the basis of analyzing the situation of traffic control for city artery, a rank control method of multiple crossroads for traffic artery based on wireless sensor and fuzzy neural network was proposed. In this method, two layers of WSN structure were taken. The first layer was control one, which consisted of terminal nodes and traffic light control nodes. Control layer was responsible for collecting vehicle information at single intersection, which was transmitted to the second layer after data fusion. Fuzzy neural control method was used to adjust online the green ratio at all directions on crossroads to accomplish traffic light control. The second layer was coordinating one, which was composed of sink nodes. Coordinating layer received traffic data detected by the first layer from each crossroad. Fuzzy neural network control method was used to determine signal cycle at artery. Simulating results showed that the method is superior to the common fuzzy control, effectively reducing queue length of vehicles and traffic delays.