摘要
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。
In order to reduce the lane departure accident,an adaptive driver characteristics lateral warning algorithm based on time to lane crossing（TLC） was designed.The algorithm judged the driver intention according to vehicle operation estate and the time to sound the alarm with vehicle running parameters,its logic meet to driver response characteristics,and can distinguish the driver unconscious lane deviation and the normal lane change behavior.With the real road vehicle test data,this paper analyzed the wheel trajectory curves and TLC curves,set the alarm threshold in different types of road conditions and different types of drivers.With the most aggressive driver and the most conservative driver of the drivers＇ classification result,this paper verified the alarm threshold.The results show that in different road conditions,the alarm algorithm stay out about 1 second reaction time for the conservative driver,about 0.5 second reaction time for the aggressive driver.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第1期89-94,共6页
Journal of Chang’an University(Natural Science Edition)
基金
国家自然科学基金项目(50705047)
关键词
交通工程
横向安全
驾驶人特性
驾驶人意图
TLC报警阈值
traffic engineering
lateral safety
driver characteristic
driver intention
TLC alarm threshold
