Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes

被引:2
作者
Huang, Chunxi [1 ,2 ]
Wen, Xiao [2 ]
He, Dengbo [1 ,3 ,4 ]
机构
[1] Hong Kong Univ Sci & Technol Guangzhou, Intelligent Transportat Thrust, Guangzhou, Guangdong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Interdisciplinary Programs Off IPO, Div Emerging Interdisciplinary Areas EMIA, Hong Kong, Peoples R China
[3] HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
ADS; ADAS; crashes; rear-end collisions; ADAPTIVE CRUISE CONTROL; PATTERNS; SAFETY;
D O I
10.1177/03611981231209319
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
With the increasing number of vehicles equipped with automated driving systems (ADS) being tested on public roads and the expanding market share of vehicles equipped with advanced driving assistance systems (ADAS), the number of ADS- or ADAS-involved crashes increases. Thus, it is necessary to investigate the distribution of ADS- and ADAS-involved crashes and the factors leading to them. The rear-end collision has been found to dominate ADS-involved crashes. However, no research has explored the conditions when ADS-involved rear-end collisions are more likely to happen and no research has investigated ADAS-involved rear-end crashes. Based on 130 ADS-involved crashes and 84 ADAS-involved crashes extracted from a dataset collected by the National Highway Traffic Safety Administration (NHTSA) between July 2021 and May 2022, this study explored the crash patterns, especially rear-end crashes, of ADS- and ADAS-controlled vehicles. Results show that rear-end collisions dominate both ADS- and ADAS-involved crashes, especially ADAS-involved crashes. The type of both ADS-involved and ADAS-involved crashes was affected by the speed of the ego-vehicle relative to the posted speed limit. Further, the type of ADS-involved crash was affected by the pre-crash movement of the crash partner, while the type of ADAS-involved crash was further associated with the road type. The findings can provide insights into the design of ADAS and ADS control algorithms, the external human-machine interface design of the vehicles with ADS or ADAS, and the training program of human road users to improve traffic safety in mixed traffic.
引用
收藏
页码:771 / 782
页数:12
相关论文
共 39 条
  • [1] [Anonymous], Taxonomy and Definitions for Terms related to Driving Automation Systems for On Road Motor Vehicles J 3016 202104
  • [2] [Anonymous], Standing general order on crash reporting
  • [3] Hands Off the Wheel in Autonomous Vehicles? A Systems Perspective on over a Million Miles of Field Data
    Banerjee, Subho S.
    Jha, Saurabh
    Cyriac, James
    Kalbarczyk, Zbigniew T.
    Iyer, Ravishankar K.
    [J]. 2018 48TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN), 2018, : 586 - 597
  • [4] Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
    Boggs, Alexandra M.
    Wali, Behram
    Khattak, Asad J.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 135
  • [5] To illuminate or not to illuminate: Roadway lighting as it affects traffic safety at intersections
    Bullough, John D.
    Donnell, Eric T.
    Rea, Mark S.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2013, 53 : 65 - 77
  • [6] Multimodel inference - understanding AIC and BIC in model selection
    Burnham, KP
    Anderson, DR
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2004, 33 (02) : 261 - 304
  • [7] Canalys, HUGE OPPORTUNITY ONL
  • [8] Dadvar S., 2021, California Autonomous Vehicle Crashes: Explanatory Data Analysis and Classification Tree
  • [9] Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence
    de Winter, Joost C. F.
    Happee, Riender
    Martens, Marieke H.
    Stanton, Neville A.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 27 : 196 - 217
  • [10] Autonomous Vehicles: Disengagements, Accidents and Reaction Times
    Dixit, Vinayak V.
    Chand, Sai
    Nair, Divya J.
    [J]. PLOS ONE, 2016, 11 (12):