Effects of driving style on takeover performance during automated driving: Under the influence of warning system factors

被引:0
|
作者
Zhang, Yaping [1 ]
Ma, Qianli [1 ]
Qu, Jianhong [1 ]
Zhou, Ronggang [1 ,2 ]
机构
[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
[2] Beihang Univ, Key Lab Complex Syst Anal Management & Decis, Minist Educ, Beijing, Peoples R China
关键词
Automated driving; Drivers ' driving style; Takeover performance; Warning stage; Warning information; SITUATION AWARENESS; DRIVER TAKEOVER; TIME; REQUESTS; VEHICLE; BACK;
D O I
10.1016/j.apergo.2024.104229
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Driving style has been proposed to be a critical factor in automated driving. However, the role of driving style in the process of taking over during automated driving needs further investigation. The main purpose of this study was to investigate the influence of driving style on takeover performance under the influence of warning system factors. In addition, this study also explored whether the impact of driving style on reaction time varies over time and the role of driving style on a comprehensive takeover quality indicator. Two driving simulation experiments with different takeover request (TOR) designs were conducted. In experiment 1, content warning information was provided in the TOR with different warning stage designs; in experiment 2, countdown warning information was provided in the TOR with different warning stage designs. Sixty-four participants (32 for experiment 1 and 32 for experiment 2) were classified into two groups based on their driving style (i.e., aggressive, or defensive) using the Chinese version of the Multidimensional Driving Style Inventory (the brief MDSI-C). The results suggested that drivers' driving style had significant effects on takeover performance, but the effects were influenced by warning system designs. Specifically, defensive participants performed better takeover performance, i.e., shorter reaction time and cautious vehicle control behaviors, than aggressive participants in most warning conditions. The content and countdown warning information and warning stage design affected the roles of driving style on takeover performance: 1) compared to the one-stage warning design, the two-stage warning design significantly shortened the reaction time of the participants with different driving styles, 2) compared to the countdown warning information design, the design of content warning information can shorten the reaction time of aggressive participants and lengthen the reaction time of defensive participants in the two-stage warning conditions, and 3) compared to the content warning information design, countdown warning information can improve the safe takeover performance of defensive participants. This study provides a better understanding of the role of driving style on takeover performance, and driving style should be considered when designing warning systems for autonomous vehicles.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Effects of non-driving related postures on takeover performance during conditionally automated driving
    Zhao, Mingming
    Bellet, Thierry
    Richard, Bertrand
    Giralt, Alain
    Beurier, Georges
    Wang, Xuguang
    Accident Analysis and Prevention, 2024, 208
  • [2] Effects of different takeover request interfaces on takeover behavior and performance during conditionally automated driving
    Ou, Yang-Kun
    Huang, Wan-Xuan
    Fang, Chen-Wen
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 162
  • [3] Effects of different takeover request interfaces on takeover behavior and performance during conditionally automated driving
    Ou, Yang-Kun
    Huang, Wan-Xuan
    Fang, Chen-Wen
    Fang, Chen-Wen, 1600, Elsevier Ltd (162):
  • [4] Effects of non-driving-related tasks on takeover performance in different takeover situations in conditionally automated driving
    Dogan, Ebru
    Honnet, Vincent
    Masfrand, Stephan
    Guillaume, Anne
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 : 494 - 504
  • [5] Influence of non-driving related tasks on driving performance after takeover transition in conditionally automated driving
    Zhang, N.
    Fard, M.
    Xu, J.
    Davy, J. L.
    Robinson, S. R.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 96 : 248 - 264
  • [6] Once a driver, always a driver - Manual driving style persists in automated driving takeover
    de Winter, Joost C. F.
    Verschoor, Koen
    Doubek, Fabian
    Happee, Riender
    APPLIED ERGONOMICS, 2024, 121
  • [7] Predicting Takeover Performance in Conditionally Automated Driving
    Du, Na
    Zhou, Feng
    Pulver, Elizabeth
    Tilbury, Dawn
    Robert, Lionel P.
    Pradhan, Anuj K.
    Yang, X. Jessie
    CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2020,
  • [8] Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving
    Wandtner, Bernhard
    Schoemig, Nadja
    Schmidt, Gerald
    HUMAN FACTORS, 2018, 60 (06) : 870 - 881
  • [9] Study on the influence factors of takeover behavior in automated driving based on survival analysis
    Chen, Haolin
    Zhao, Xiaohua
    Li, Zhenlong
    Li, Haijian
    Gong, Jianguo
    Wang, Qiuhong
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 95 : 281 - 296
  • [10] Is driving experience all that matters? Drivers' takeover performance in conditionally automated driving
    Zhang, Neng
    Fard, Mohammad
    Davy, John Laurence
    Parida, Sibashis
    Robinson, Stephen R.
    JOURNAL OF SAFETY RESEARCH, 2023, 87 : 323 - 331