摘要
针对驾驶员弯道安全感受变化规律的研究,对于道路线形的宜人化设计和防范交通事故的发生具有重要作用,分析了不同车辆行驶速度条件下,弯道平曲半径与驾驶员安全感受间的映射作用关系;在提取出相应安全感受形成模糊推理规则的基础上,建立了弯道道路条件下驾驶员安全感受形成的模糊神经网络推理模型。利用驾驶员弯道安全感受的道路试验数据,对模型进行了训练和对比验证,其结果表明,在典型的道路环境下,当弯道的平曲半径小于某个固定值时,驾驶员的安全感受主要取决于平曲半径,无论对于低速还是高速,是安全感受波动变化的主导因素。
Aiming at the problem that horizontal curve radiuses have some different influences on the formation of driver＇s safety perception, formatting model of driver＇s safety perception to curve is set up based on combined actions of components of bend and running speed of vehicles. Fuzzy-neural networks model of driver＇s .safety perceptive formation and fuzzy reasoning rules are built up.The results of reasoning operation and road test prove that the relation between input and output is reflected accurately. By utilizing the trained model＇s reasoning ability, the simulation result shows the influence of different horizontal curve radius on driver＇s safety perception tmder different running speed.
出处
《控制工程》
CSCD
2007年第B05期30-32,59,共4页
Control Engineering of China
基金
交通部科技项目基金(200439800060)
关键词
平曲半径
安全感受
速度
模糊神经网络
horizontal curve radius
safety perception
speed
fuzzy-neural network
