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车辆碰撞预警系统对行车风险的干预效果

许甜 高健强 刘建蓓 赵超杰 刘国图

许甜, 高健强, 刘建蓓, 赵超杰, 刘国图. 车辆碰撞预警系统对行车风险的干预效果[J]. 交通信息与安全, 2022, 40(1): 153-161. doi: 10.3963/j.jssn.1674-4861.2022.01.018
引用本文: 许甜, 高健强, 刘建蓓, 赵超杰, 刘国图. 车辆碰撞预警系统对行车风险的干预效果[J]. 交通信息与安全, 2022, 40(1): 153-161. doi: 10.3963/j.jssn.1674-4861.2022.01.018
XU Tian, GAO Jianqiang, LIU Jianbei, ZHAO Chaojie, LIU Guotu. A Field Study for Evaluating the Effectiveness of Vehicle Collision Warning Systems[J]. Journal of Transport Information and Safety, 2022, 40(1): 153-161. doi: 10.3963/j.jssn.1674-4861.2022.01.018
Citation: XU Tian, GAO Jianqiang, LIU Jianbei, ZHAO Chaojie, LIU Guotu. A Field Study for Evaluating the Effectiveness of Vehicle Collision Warning Systems[J]. Journal of Transport Information and Safety, 2022, 40(1): 153-161. doi: 10.3963/j.jssn.1674-4861.2022.01.018

车辆碰撞预警系统对行车风险的干预效果

doi: 10.3963/j.jssn.1674-4861.2022.01.018
基金项目: 

国家重点研发计划项目 2017YFC0803900

陕西省青年科技新星项目 2020KJXX-046

详细信息
    通讯作者:

    许甜(1987—),硕士,高级工程师. 研究方向:交通安全、智能交通. E-mail: 77459997@qq.com

  • 中图分类号: U491.6U676.1

A Field Study for Evaluating the Effectiveness of Vehicle Collision Warning Systems

  • 摘要:

    各类碰撞预警系统已广泛应用于具有驾驶辅助功能的车辆上,为研究预警系统对风险状态下车辆交互行为特征的影响机理,并评估其对行车风险的干预效果,采用15辆搭载预警系统的试验车辆在真实高速公路场景下进行实车群组试验,通过有-无预警情形对比试验及分析,从车辆交互行为特征指标、道路总体运行风险、驾驶员对预警系统认可度3个维度,对行车风险干预效果进行定量化综合评估。试验结果表明:微观层面,有预警情形下,跟驰、超车换道2类行车安全事件下的车头时距均值分别增加了0.37 s和0.34 s,方差分析结果显示预警系统开闭状态对车头时距有显著影响(p<0.05);中观层面,试验路段2类行车安全事件频数分别下降了16.0%和23.7%,试验车辆群组在路段上的运行速度分布离散性显著降低;调查问卷显示试验人员中,86.7%在接收到预警信息后会采取趋于安全的措施,73.3%非常认同预警系统对道路交通安全提升的积极作用。

     

  • 图  1  预警系统工作流程示意图

    Figure  1.  Diagram of early warning system workflow

    图  2  车载预警终端及平台

    Figure  2.  On board early warning terminal and platform

    图  3  试验路段及行驶路径

    Figure  3.  Test section and driving paths

    图  4  搜索算法几何模型

    Figure  4.  Geometric model of search algorithm

    图  5  后车的超车换道过程示意

    Figure  5.  Schematic diagram of overtaking and lane changing process of rear vehicles

    图  6  CIEs事件提取流程图

    Figure  6.  Flow Chart of Extracting CIEs

    图  7  有、无预警情形下减速跟驰行为车头时距分布

    Figure  7.  Headway distribution of deceleration following behavior warning and no-warning

    图  8  有、无预警情形下超车换道行为车头时距分布

    Figure  8.  Headway distribution of overtaking behavior warning and no-warning

    图  9  有、无预警情形下CIEs车头时距箱型对比图

    Figure  9.  Comparison of cies headway box type of warning and no-warning

    图  10  有、无预警情形下试验路段车辆断面运行速度分布图(500 m间隔断面)

    Figure  10.  Comparison of speed distribution in test section of warning and no-warning(500 m interval section)

    图  11  问卷调查统计结果

    Figure  11.  Statistical results of questionnaire survey

    表  1  试验车辆驾驶任务分配

    Table  1.   Driving tasks assignment of test vehicles

    车辆编号 任务描述 起终点 试验里程/km
    1~4 ①运行速度由100 km/h降至70 km/h,单程执行10次
    ②在龙门服务区驶出再汇入
    ③在龙门互通驶出主线,在收费站掉头后等待群组返程时从匝道汇入
    蓝田互通~龙门互通 49
    5~15 ①单程执行6次超车任务
    ②在各互通出入口2 km预告标志处需执行1次换道任务
    蓝田互通~龙江互通 60
    下载: 导出CSV

    表  2  采集原始数据与预处理数据一览表

    Table  2.   List of original data and preprocessed data

    原始数据 预处理数据
    终端数据 道路数据 车路映射关系 车车交互关系
    车辆ID时间戳 与道路中心线距离/m 前后车相对速度/(km/h)
    后车加速度/(m/s2
    前后车车头时距/s
    坐标(x y 道路中心线坐标(x y 与起始桩号距离/m
    速度/(km/h) 里程桩号 与道路中心线夹角/(°)
    方向角/(°) 断面速度/(km/h)
    下载: 导出CSV

    表  3  2类典型CIEs定义及提取准则

    Table  3.   Definition and judgment of two types of cies

    CIEs 定义 提取准则
    减速
    跟驰
    与前车车头时距小于5 s,后车减速跟随行驶,或换道失败跟随行驶 车头时距小于5 s行驶车道保持不变前后车辆满足式(2)
    前后车车头时距持续减小直到最小的瞬间
    超车
    换道
    与前车车头时距小于5 s,后车换道并超过前车继续行驶 换道前车头时距小于5 s前后车辆满足式(3)
    后车向相邻车道换道离开原车道的瞬间
    下载: 导出CSV

    表  4  CIEs提取结果汇总情况

    Table  4.   Summary of CIEs Extractions

    CIE类型 CIEs/组
    无预警状态 有预警状态
    减速跟驰 382 321
    超车换道 219 167
    总计 601 488
    下载: 导出CSV

    表  5  预警状态对2类行车安全事件THW影响分析

    Table  5.   Analysis results of the influence of FCW working state on THW of the two typical CIEs

    CIEs
    类型
    因子 均值/s
    (标准差)
    d.f. F p
    减速
    跟驰
    预警状态 2 3.983 0.046*
    1.562(1.139)
    1.931(1.199)
    换道
    超车
    预警状态 2 3.882 0.049*
    2.181(1.063)
    2.522(1.095)
    注:*表示p < 005
    下载: 导出CSV
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  • 收稿日期:  2021-09-30
  • 网络出版日期:  2022-03-31

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