Control of Traffic Light in Isolated Intersections Using Fuzzy Neural Network and Genetic Algorithm

In this paper a fuzzy neural network is applied forreal time traffic signal control at an isolated intersection. The FNN has advantages of both fuzzy expert system (fuzzyreasoning) and artificial neural network (self-study). A traffic light controller based on fuzzy neural network canbe used for optimum control of fluctuating traffic volumes suchas oversaturated or unusual load condition. The objective is toimprove the vehicular throughput and minimize delays. Therules of fuzzy logic controller are formulated by following thesame protocols that a human operator would use to control thetime intervals of the traffic light. For adjusting the parametersof FNN, genetic algorithm was used. Compared with traditional control methods for traffic signal, the proposed FNN algorithmshows better performance and adaptability.