论文部分内容阅读
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。
Based on the vehicle position information obtained by the image sensor, a new method to analyze the driver’s driving characteristics is proposed. The driver safety evaluation model based on fuzzy mechanism is established to describe the driving process data from the point of view of the database. The lateral distance of the driving vehicle from the road marking line is recorded by sampling in different time periods. According to the statistics of the sampling data The results of the analysis confirm the fuzzy membership degree of the traffic safety evaluation in the lane to evaluate the driving safety of the driver in the lane and analyze the driving characteristics of the driver. Vehicle running tests show that this method can accurately analyze the driver’s driving status and judge the driving safety characteristics of the driver’s lane.