Intersection Fuzzy Control Modeling and Simulation: The Case of Beijing

In recent years, as the traffic congestion has been increasing serious in Beijing, many advanced transportation science and technologies have been proposed to solve the traffic problems. Intelligent control of intersection has been one of the major elements globally in the research on road traffic congestion. Based on the experience of engineering practice, this paper does research of intersection fuzzy control modeling and the fuzzy control optimization modeling based on neural network. Then, it puts forward the method of intersection fuzzy control design based on state automaton technology. Based on Matlab/VAP, it presents the method of intersection fuzzy control simulation modeling. Finally, making an actual intersection for an example, it compares the effect of timing control, induction control, fuzzy control, and neural network fuzzy control.