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基于自然驾驶数据的切入场景队列跟驰仿真

鲁光泉 李伊琳 李鹏辉

鲁光泉, 李伊琳, 李鹏辉. 基于自然驾驶数据的切入场景队列跟驰仿真[J]. 交通信息与安全, 2021, 39(5): 59-67. doi: 10.3963/j.jssn.1674-4861.2021.05.008
引用本文: 鲁光泉, 李伊琳, 李鹏辉. 基于自然驾驶数据的切入场景队列跟驰仿真[J]. 交通信息与安全, 2021, 39(5): 59-67. doi: 10.3963/j.jssn.1674-4861.2021.05.008
LU Guangquan, LI Yilin, LI Penghui. Simulation of Vehicle Following Platoons at Cut-in Scenarios Based on Natural Driving Data[J]. Journal of Transport Information and Safety, 2021, 39(5): 59-67. doi: 10.3963/j.jssn.1674-4861.2021.05.008
Citation: LU Guangquan, LI Yilin, LI Penghui. Simulation of Vehicle Following Platoons at Cut-in Scenarios Based on Natural Driving Data[J]. Journal of Transport Information and Safety, 2021, 39(5): 59-67. doi: 10.3963/j.jssn.1674-4861.2021.05.008

基于自然驾驶数据的切入场景队列跟驰仿真

doi: 10.3963/j.jssn.1674-4861.2021.05.008
基金项目: 

国家重点研发计划项目 2018YFB1600500

详细信息
    通讯作者:

    鲁光泉(1974—),博士,教授.研究方向:驾驶行为研究、道路交通安全、车路协同控制、交通系统可靠性等. E-mail: lugq@buaa.edu.cn

  • 中图分类号: U491.2

Simulation of Vehicle Following Platoons at Cut-in Scenarios Based on Natural Driving Data

  • 摘要:

    车辆切入是常见的驾驶行为,频繁的变道切入行为影响了通行效率与交通安全。因此,揭示切入场景下的驾驶特性对研究交通拥堵和行驶安全机理具有重要意义。在自然驾驶数据的基础上,根据驾驶人的主观风险感知特性,探究驾驶人的切入行为发生条件,并在期望安全裕度(DSM)模型的基础上,标定了切入场景下的相关参数,根据标定结果进行切入场景下的队列跟驰仿真。仿真结果表明:在仿真区间内,队列的长度、行驶速度以及切入车的切入位置不同会影响队列的稳定性以及队列的调整,当队列长度由4辆变为13辆,速度由5 m/s增至20 m/s,切入车的位置由贴近前后车变为前后2辆车中间时,切入行为对队列的稳定性影响变得越小,队列越容易恢复到稳定状态。

     

  • 图  1  自然驾驶数据采集车及采集设备

    Figure  1.  Vehicle and equipment for natural driving data collection

    图  2  自然驾驶视频

    Figure  2.  sample video of natural driving data

    图  3  偏移率定义

    Figure  3.  Definition of the drift rate

    图  4  仿真流程

    Figure  4.  Simulation process

    图  5  标定的DSM模型验证

    Figure  5.  Verification of calibrated DSM model

    图  6  队列仿真初始条件

    Figure  6.  Initial conditions of platoon simulation

    图  7  切入车及队列速度变化图

    Figure  7.  Speed change of cut-in and platoon vehicles

    图  8  切入车及队列加速度变化图

    Figure  8.  changes of acceleration rates of cut-in and platoon vehicles

    图  9  切入车及队列速度变化图

    Figure  9.  Speed changes of cut-in and platoon vehicles

    图  10  切入车及队列加速度变化图

    Figure  10.  Changes of acceleration rates of cut-in and platoon vehicles

    图  11  切入车及队列速度变化图

    Figure  11.  Speed changes of cut-in and platoon vehicles

    图  12  切入车及队列加速度变化图

    Figure  12.  changes of acceleration rates of cut-in and platoon vehicles

    表  1  切入起始时刻各车辆之间SM值的正态性检验

    Table  1.   Normality test of SM values between vehicles at the beginning of cut-in

    SM 正态性检验
    K-S检验 S-W检验
    切入车和目标车道后车 0.134 16 0.200* 0.95 16 0.491
    目标车道前后2辆车 0.159 16 0.200* 0.922 16 0.179
    切入车和目标车道前车 0.174 16 0.200* 0.91 16 0.117
    下载: 导出CSV

    表  2  切入起始时刻各车辆之间SM值的统计参数

    Table  2.   Statistical parameters of SM values between vehicles at the beginning of cut-in

    SM 平均值 标准差 中位数
    切入车与目标车道后车 0.79 0.059 0.83
    目标车道前后2辆车 0.96 0.028 0.95
    切入车与目标车道前车 1.08 0.097 0.98
    下载: 导出CSV

    表  3  切入车在切入起始时刻的TH

    Table  3.   TH of the cut-in vehicles at the beginning of the cut-in

    TH /s 第1次 第2次 第3次 第4次
    切入车与引导车 1.2 1.6 2.0 2.4
    切入车与目标车道后车 2.3 1.9 1.5 1.1
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-09-24

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