摘要
基于图像传感器获得的车辆位置信息,提出一种分析汽车驾驶员驾驶特性的新方法。建立基于模糊机制的驾驶员车道内行驶安全评价模型,以数据库的观点对车辆行驶过程数据进行描述,通过分时间段采样的方式记录行驶车辆距道路标识线的横向距离,根据采样数据特征的统计分析结果确定车道内行车的安全评价模糊隶属度,以此评估驾驶员车道内行车的安全性,分析驾驶员的行车特点。车辆行驶试验表明,该方法能够准确分析驾驶员的行车状态,并评判驾驶员车道内行驶的安全特性。
According to the vehicle＇s locations acquired from the image sensor,a new method of analyzing driving characteristics was put forward.A safety evaluation model for driving in lane based on fuzzy logic mechanism was established,and vehicle＇s travelling data were described in the view of database.The vehicle＇s lateral distances to the marking line were recorded by use of sampling at fixed time intervals.The safety evaluation fuzzy membership was calculated out by statistical analysis of distance samples to evaluate driving safety in lane and analyze driver＇s driving characteristics.The experimental results prove that the method can correctly analyse driving status and judge driver＇s safety in lane.
出处
《公路交通科技》
CAS
CSCD
北大核心
2010年第10期101-106,共6页
Journal of Highway and Transportation Research and Development
基金
国家科技支撑计划项目(2007BAK35B01)
关键词
交通工程
驾驶特性分析
评价隶属度函数
车道内行车
行驶位置
traffic engineering
driving characteristics analysis
evaluation membership function
driving in lane
running location
