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在人、车和路集成的复杂系统进行建模和控制中,人模块一直是难点所在,本文通过对一种模糊神经网络驾驶员的安全因素进行识别,取得了满意的结果,对轿车行驶的主动安全性研究有一定积极意义。
Man-machine module has always been a difficult point in the modeling and control of complex systems integrating people, vehicles and roads. In this paper, by identifying the driver’s safety factors of a fuzzy neural network, satisfactory results have been obtained. Active safety research has some positive meaning.