Research of Urban Traffic Fuzzy Control Based on Improved GA
基于改进GA 的城市交通模糊控制研究

The paper presents signal fuzzy control algorithm for urban traffic based on optimization of phases' order and uses improved genetic algorithm(GA) to optimize fuzzy control rules.Take example for four-phase traffic signal control used commonly in real world,research discovers that flexible optimization of phases can acquire better control results under the premise of unchanged old order of four phases,it can reduce the inadequacy of fuzzy control rules brought by the subjectivity of expert's experiences to optimize fuzzy control rules by the improved GA.Compared with traditional signal fuzzy control method for single intersection,the control algorithm presented in the paper can avoid congestion caused by unbalanced traffic flow effectively and improve the real-time character and control precision,so it can reduce the vehicles' average delay time,the proposed algorithm is a practicable and effective algorithm for urban traffic signal self-adaptive control.