基于GA的城市交叉口信号控制模糊规则优化

根据城市交通系统中单交叉口信号控制的具体情况，对遗传算法进行了改进，并利用改进的遗传算法对交叉口信号模糊控制器的模糊规则进行优化，建立新的优化算法．计算机仿真结果表明，采用改进的遗传算法方法优化模糊控制规则，可以减少因人的经验的局限性而导致的模糊规则的不完备性，使得控制器实用性更强，控制效果更好．

Rules optimization of fuzzy controller for urban single intersection based on GA

According to the actual conditions of the single intersection in urban traffic system, an improved genetic algorithm(GA) is proposed in this paper.The improved GA optimizes the control rules of the fuzzy controller for the traffic signals control.Newly established optimized method is used in the fuzzy signal controller combined with the improved GA.The simulation results show that the improved GA method can enhance the non-integrality of the fuzzy logic rules which resulted from the limitation of the human's experiences.And the controller is proved that it has stronger practicability and better applicability.