The effective control of intersection signal is the key to reduce vehicle delay time and the premise to ensure smooth urban traffic. In this paper, a fuzzy neural network is proposed to realize intelligent traffic signal control at a single intersection based on floating vehicle data. The basic idea is to use the fuzzy neural network to synthetically regulate the factors such as green signal ratio and cycle time. In the design of fuzzy neural network controller, input the fuzzy data and get the corresponding output results. The purpose is to better optimize the signal of intersection, so as to minimize the queue length of intersection, thereby reducing vehicle delays. The results show that the method has a remarkable effect in reducing vehicle delay.

CICTP