首页> 中文期刊> 《交通信息与安全》 >基于自然驾驶数据的驾驶员变道特征分析∗

基于自然驾驶数据的驾驶员变道特征分析∗

         

摘要

为研究驾驶员的变道特征,包括变道频率、变道动机、注视行为以及转向灯使用情况,基于上海自然驾驶实验采集的驾驶员行为以及车辆运行数据,通过车道偏移值对变道事件进行识别,提取特征变量。对比分析不同类型道路上驾驶员的变道特征,得到以下结论:驾驶员变道较为频繁,城市主干道上变道频率最高,为0.82次/km;高速公路上多车道变道的比例相对较高,安全隐患较大;与美国学者 Olsen 等人的研究结果相比,驾驶员在变道前查看侧视镜与开启转向灯的比例较高,但极少转头检查盲区。频繁变道、多车道变道以及忽视盲区都是变道过程中存在的安全隐患,深入了解这些特征,从而有针对性地提出改善措施对提高行车安全性有重要意义。%In order to study characteristics of drivers′lane changing behaviors,including lane changing frequency, motivations,gazing behavior and turn signal usage,drivers′behavior and vehicle operating data are collected from Shang-hai naturalistic driving study.Lane changing is identified by lane departure and its variables are thus extracted.Character-istics of lane changing behavior are analyzed and compared between different types of road.Lane changing behavior con-stantly occurs on urban arterial road,with a frequency of 0.82 per kilometer.The rate of the multilane changing on the freeway is relatively higher,being a potential threat to the drivers.Comparing with the study results by Olsen et al.,it appears that drivers rarely carry out"shoulder check"the blind spot before lane changing behavior although,the percent-age of side mirrors check and use of turn signal is relatively high.Potential risks exist in the frequent lane changes,multi-lane changing and blind spot ignorance,which deserve further studies.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号