摘要
基于信息融合技术模拟驾驶人信息感知、分析决策和车辆控制的全过程,建立跟随驾驶协同仿真模型.模型以动态交通信息为输入,设计单个神经元仿真驾驶人对感知信息的筛选,采用模糊径向基高斯神经网络提取驾驶行为特征向量,应用模糊积分法模拟驾驶人对信息的分析和决策过程,输出为车辆控制状态.离线检验结果表明,该模型能较好地描述跟随车状态变化,具有较高的精度.
A coordinated simulation model of car-following driving is built based on information fusion,the whole process of driver behavior from the collecting information,analysis situation and decisionmaking to control car states are coordinated.In this model,the dynamic traffic information is input,the single nerve cell is used to simulate how the drivers apperceive the changeable information,a fuzzy never network is imposed to extract the eigenvectors of driving behavior as drivers experiences,and the fuzzy inte...
出处
《长沙交通学院学报》
2009年第1期77-81,共5页
Journal of Changsha Communications University
基金
湖南省自然科学基金项目(08JJ3120)
交通部应用基础项目(200431982515)
关键词
交通工程
协同
信息融合
驾驶人行为
模型
traffic engineering
coordinated
information fusion
driver behavior
modeling
