摘要
为了减少高速公路车辆跟驰行驶过程中引发的追尾碰撞事故,并保证行车效率,对高速公路车辆跟驰行为进行了分析。本文基于模糊控制和神经网络等理论知识,建立了一种正则化模糊神经网络跟驰控制决策模型。实验仿真表明,该模型系统较好的反应了一定道路条件下的车辆跟驰行为,且系统响应速度快,控制精度高,保证了车辆跟驰行驶的安全性和行车效率。
In order to reduce the rear-end collision accident caused by car-following on freeways and to assure the vehicle driving efficiency, the car-following behavior is analyzed. Based on the knowledge of fuzzy control and neural networks, the control decision model of car-following based on normal fuzzy neural networks was constructed. Simulation results indicate that the system has-advanrages, such as fast reaction rate, high control precision, and meets the demand with vehicle safety and driving efficiency in some condition.
出处
《微计算机信息》
2009年第23期195-196,159,共3页
Control & Automation
基金
国家高技术研究发展计划(863)(2006AA06Z114)
