[1]徐进,陈莹,陈海源,等.回头曲线路段的轨迹行为模式与事故风险[J].东南大学学报(自然科学版),2020,50(5):973-982.[doi:10.3969/j.issn.1001-0505.2020.05.025]
 Xu Jin,Chen Ying,Chen Haiyuan,et al.Vehicle track patterns and accident risk on hairpin curves[J].Journal of Southeast University (Natural Science Edition),2020,50(5):973-982.[doi:10.3969/j.issn.1001-0505.2020.05.025]
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回头曲线路段的轨迹行为模式与事故风险()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
50
期数:
2020年第5期
页码:
973-982
栏目:
交通运输工程
出版日期:
2020-09-20

文章信息/Info

Title:
Vehicle track patterns and accident risk on hairpin curves
作者:
徐进12陈莹2陈海源2张康2
1重庆交通大学山区复杂道路环境“人-车-路”协同与安全重庆市重点实验室, 重庆 400074; 2重庆交通大学交通运输学院, 重庆 400074
Author(s):
Xu Jin12 Chen Ying2 Chen Haiyuan2 Zhang Kang2
1Chongqing Key Laboratory of “Human-Vehicle-Road” Cooperation and Safety for Mountain Complex Environment, Chongqing Jiaotong University, Chongqing 400074, China
2College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
关键词:
山区公路 回头曲线 回头弯 行驶轨迹 轨迹特性 事故风险 交通安全
Keywords:
mountain roads hairpin curves switch-back curves traveling track track characteristics accident risk road safety
分类号:
U412.3;U491.3
DOI:
10.3969/j.issn.1001-0505.2020.05.025
摘要:
为了探究回头曲线的汽车轨迹形态和驾驶风险,在一段包含11处回头曲线的山区公路上开展了实车驾驶试验,用车载设备采集了自然驾驶状态下的轨迹数据和车轮-车道线横向距离数据,揭示了回头曲线弯道的轨迹形态、模式、风险和事故形成机制,提出了轨迹分类指标并确定出6类独立的轨迹模式.结果表明:回头弯道上的轨迹具有较强的离散性,但同时也呈现较强的聚集性,切弯是回头曲线的典型过弯方式,根据切弯点的位置,可划分为入弯切弯、弯中切弯和出弯切弯3类.驾驶人采用入弯切弯时,弯道速度损失最低;采用出弯切弯时,弯道速度损失最大.由于切弯、压线中行驶等行为,车辆在回头曲线上行驶时会占用对向车道,产生对撞的事故隐患;同时还会侵占弯道两侧的硬路肩,引发驶出路外、碰撞山体或者碰撞护栏的风险.车辆左转驶入回头曲线时有超过71.07%的驾驶人会占用对向车道,右转驶入时有59.5%的驾驶人侵占对向车道;左转弯行驶时表现为出弯阶段占用,右转弯行驶时表现为入弯阶段占用.
Abstract:
To identify track behavior and driving risk along hairpin curve, a field driving test on a mountain road with 11 hairpin curves was conducted, the vehicle track under the natural driving state was collected, as well as the lateral distance between the tire and the lane markings, and patterns, crash risk and formation mechanism on the hairpin curves were defined. The results show that the track on hairpin curve has strong discrete and aggregation characteristics, the track classifying index is presented and six independent track patterns for hairpin curves are classified. The curve cutting is a typical track pattern, according to the position of the curve cutting point, the curve cutting can be divided into three categories:cutting at bend entry, cutting at the mid-bend and cutting at the bend exit. The speed loss of the curve negotiating is the lowest when the driver cuts the bend at the entry, and the speed loss is the biggest when the curve is cut at the exit. Due to the behaviors of curve cutting, driving on the road center line and so on, the vehicle will occupy part or even the whole opposite lane when driving on the hairpin curve, causing the risk of heading on crashes; meanwhile, drivers also occupy the hard shoulder in the both sides, and result in risk of running-off the road, colliding with the mountain or roadside guardrail. More than 71.07% of the drivers will occupy the opposite lane on the left hairpin curve, and it is 59.5% for right hairpin curves; when turning left, the occupation usually occurrs at the curve departing stage, and when turning right, the occupation appears at the curve entering stage.

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备注/Memo

备注/Memo:
收稿日期: 2020-04-01.
作者简介: 徐进(1977—),男,博士,教授,博士生导师,yhnl_996699@163.com.
基金项目: 国家重点研发计划课题资助项目(2018YFB1600500)、重庆市教委科学技术研究重点资助项目(KJZD-K201900703).
引用本文: 徐进,陈莹,陈海源,等.回头曲线路段的轨迹行为模式与事故风险[J].东南大学学报(自然科学版),2020,50(5):973-982. DOI:10.3969/j.issn.1001-0505.2020.05.025.
更新日期/Last Update: 2020-09-20