The Traffic Signal Control System Based On Fuzzy-neural Network

The topic duty studies one kind of control method,this method applies to the traffic signal control system,and analyzes how to use the advanced fuzzy control and the neural network technology to solve theur ban traffic jam problem.According to traffic practical situation,through the analysis and summary of the control mode and strategy,reducing theroad intersection queue length and the vehicles average delay as the control goal,proposes one intelligence control method.This article brings forward fuzzy neural network system structure and the study algorithm based on the Sugeno model,and has given this controller structure and the design method.And ANFIS which is provided by the MATLAB fuzzy toolbox to the above plan has be carried on the simulation.Another prime task of this article proposes the simple examination algorithm of the video detection,background difference and dynamic background methods and SO on,which sharpenes the antijalnmming ability.