Coordinated Ramp Metering Based on Fuzzy Control Law and Genetic-Neural Algorithm

The application of intelligent control technology to the ramp system of urban freeway is discussed.Based on the adaptability analysis of fuzzy control,neural networks,and genetic algorithm to the ramp system,a coordinated ramp metering combining both fuzzy control law and genetic-neural algorithm is proposed.The inputs and outputs of fuzzy controller are linearly updated and are used for the training of genetic-neural networks.The trained neural networks are then used in the ramp system to replace fuzzy controller.The structure of the neural networks and genetic algorithm process are also presented.With a macroscopic traffic flow model,the simulation results show that,in comparison with conventional fuzzy control law,the proposed method can improve the system performance significantly.