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为减少车道偏离事故的发生,基于车辆将要横越车道边界的时间标准(TLC),提出一种新的横向安全报警算法。该算法根据车辆运行状态判断驾驶人意图,基于实车试验数据,分析车辆的车轮轨迹曲线与TLC曲线,设定不同路况、不同类型驾驶人的报警阈值;利用驾驶人分类结果中最激进和最保守驾驶人的实车数据,分别验证不同路况下的报警阈值。结果表明:在不同路况下,报警算法给性格保守的驾驶人留出了1s左右的反应时间,给性格激进的驾驶人留出了0.5s左右的反应时间。
To reduce the occurrence of lane departure accidents, a new lateral safety alarm algorithm is proposed based on the time scale (TLC) that the vehicle will be crossing the lane boundary. Based on the actual vehicle test data, the algorithm analyzes the wheel track curve and TLC curve of the vehicle to set the alarm threshold for different road conditions and different types of drivers. By using the most radical and the most Conservative driver’s actual vehicle data, respectively, to verify the alarm threshold under different road conditions. The results show that under different road conditions, the alarm algorithm gives the conservative drivers a reaction time of about 1s, leaving the aggressive drivers with a reaction time of about 0.5s.