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Longitudinal safety impacts of cooperative adaptive cruise control vehicle's degradation

机译:合作自适应巡航控制车辆退化的纵向安全影响

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摘要

Introduction: The adaptive cruise control (ACC) and cooperative ACC (CACC) systems are critical parts of self-driving vehicles. The ACC vehicles detect front vehicle' information via vehicle-mounted sensors and make longitudinal reactions automatically, while CACC vehicles enhance the performance by vehicle-to-vehicle (V2V) wireless communication. However, CACC vehicles may abruptly degrade to ACC mode in reality due to various reasons, including communication failures, driver manipulations, and cyber-attacks. The sudden degradation will definitely bring negative influences on safety. Method:This study quantitatively evaluated the longitudinal safety impacts of vehicles' degradation in a CACC fleet based on microscopic simulations. The realistic CACC and ACC models proposed by the California Partners for Advanced Transit and Highways (PATH) were used for simulation experiments. The time integrated time-to-collision (TIT) was measured to quantify the collision risks. Extensive simulations were conducted via a fleet of 10 CACC vehicles and speed profiles of vehicles in different scenarios were compared. Key factors, including the leading vehicle's deceleration rate, the number of vehicles between degraded vehicles (NVDVs), threshold of TTC, and visibility were also examined via sensitivity analyses. Results and conclusions: Simulation results indicate that degradation has significant negative influences on longitudinal safety of degraded vehicles under the driving state of deceleration. Degradation at middle positions in a CACC fleet, such as fourth and fifth positions, is much safer than that at others. Moreover, nonadjacent degradation is much riskier than adjacent degradation at the front positions of a fleet. NVDVs can bring inverse impacts on safety with different degradation positions. Speed profiles imply that the hysteresis of degraded vehicles' speed control is the major reason for high collision risks. Practical applications: Appropriately, hierarchical countermeasures have the potential to reduce the longitudinal safety impacts of degradation. Findings of this study can contribute to determining the applicable length of CACC fleets. (C) 2019 National Safety Council and Elsevier Ltd. All rights reserved.
机译:简介:自适应巡航控制(ACC)和合作ACC(CACC)系统是自动驾驶车辆的关键部分。 ACC车辆通过车载传感器检测前车辆信息,并自动进行纵向反应,而CACC车辆通过车辆到车辆(V2V)无线通信的性能增强。然而,由于各种原因,CACC车辆可能突然降低到ACC模式,包括通信故障,驱动程序操纵和网络攻击。突然的降解肯定会对安全产生负面影响。方法:本研究总体性地评估了基于显微镜模拟的CACC船队中车辆降解的纵向安全影响。加利福尼亚州的高速公路和高速公路(路径)提出的现实CACC和ACC模型用于仿真实验。测量时间汇编时间 - 碰撞(山雀)以量化碰撞风险。通过10个CACC的车队进行广泛的模拟,并比较了不同场景中车辆的速度简档。通过灵敏度分析检查了关键因素,包括领先的车辆减速率,降解车辆(NVDVS),TTC阈值和可见度的载体的数量。结果与结论:仿真结果表明,降解对减速驱动状态下降解车辆的纵向安全性具有显着的负面影响。在CACC船队中的中间位置下降,例如第四和第五个位置,比其他更安全。此外,非相邻的劣化比舰队前部位置的相邻劣化具有很大的风险。 NVDVS可以对具有不同劣化位置的安全性带来反向影响。速度概况意味着退化车辆速度控制的滞后是高碰撞风险的主要原因。实际应用:适当的,等级对策具有降低纵向安全影响的纵向安全影响。该研究的结果可以有助于确定CACC舰队的适用长度。 (c)2019国家安全委员会和elestvier有限公司保留所有权利。

著录项

  • 来源
    《Journal of Safety Research》 |2019年第6期|177-192|共16页
  • 作者单位

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Cent S Univ Sch Traff & Transportat Engn Changsha 410000 Hunan Peoples R China;

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Jiangsu Key Lab Urban ITS Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Jiangsu Prov Collaborat Innovat Ctr Modern Urban Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China|Southeast Univ Sch Transportat Si Pai Lou 2 Nanjing 210096 Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cooperative adaptive cruise control; Adaptive cruise control; Safety; Collision risk; Degradation;

    机译:合作自适应巡航控制;自适应巡航控制;安全;碰撞风险;退化;

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