Handing control back to drivers: Exploring the effects of handover procedure during transitions from Highly Automated Driving

被引:6
|
作者
Maggi, Davide [1 ]
Romano, Richard [1 ]
Carsten, Oliver [1 ]
机构
[1] Inst Transport Studies, Leeds, W Yorkshire, England
关键词
Driver behavior; Vehicle automation; Intelligent vehicle systems; Autonomous driving; TAKEOVER REQUESTS; VEHICLE CONTROL; COGNITIVE LOAD; TIME; LOOP; PERFORMANCE; ATTENTION; BEHAVIOR; QUALITY; MODEL;
D O I
10.1016/j.trf.2021.11.008
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The operational capabilities of automated driving features are limited and sometimes require drivers' intervention through a transition of control. Assistance at an operational level might be extremely beneficial during transitions but the literature lacks evidence on the topic. A simulator study was conducted to investigate the potential impacts that lateral assistance systems might have while the Automated Driving System (ADS) hands back control to the driver. Results showed that drivers benefitted from a strong Lane Keeping Assist during the first phase of the transfer, helping them to keep the lane centre. However, assisting the drivers at an operational level did not enhance their capability of addressing a more complex task, presented as a lane change. In fact, it was more task-specific assistance (Blind-spot assist) that allowed drivers to better cope with the tactical decision that the lane change required. Moreover, longer exposure to lane keeping assist systems helped them in gaining awareness of the surrounding traffic and improved the way drivers interacted with the Blind-spot assist.
引用
收藏
页码:9 / 20
页数:12
相关论文
共 34 条
  • [1] Control Transition Workshop: Handover and Takeover Procedures in Highly Automated Driving
    Borojeni, Shadan Sadeghian
    Meschtscherjakov, Alexander
    Mirnig, Alexander G.
    Boll, Susanne
    Naujoks, Frederik
    Politis, Ioannis
    Alverez, Ignacio
    [J]. AUTOMOTIVEUI'17: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2017, : 39 - 46
  • [2] Transitions from Autopilot to Manual Control in Highly Automated Driving: Cognitive Simulations
    Kim, Woojin
    Kim, Hyun-Suk
    Lee, Seung-Jun
    Kim, Jungsook
    Yoon, Daesub
    [J]. 2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [3] The effect of inconsistent steering guidance during transitions from Highly Automated Driving
    Maggi, Davide
    Romano, Richard
    Carsten, Oliver
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2022, 167
  • [4] Conditionally and highly automated vehicle handover: A study exploring vocal communication between two drivers
    Clark, Jediah R.
    Stanton, Neville A.
    Revell, Kirsten M. A.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 65 : 699 - 715
  • [5] Misuse or abuse of automation? Exploring drivers' intentions to nap during automated driving
    Woerle, Johanna
    Metz, Barbara
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 99 : 460 - 472
  • [6] Overtake or not - A computer-based driving simulation experiment on drivers' decisions during transitions in automated driving
    Leitner, Jasmin
    Miller, Linda
    Stoll, Tanja
    Baumann, Martin
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 96 : 285 - 300
  • [7] Detecting sleep in drivers during highly automated driving: the potential of physiological parameters
    Woerle, Johanna
    Metz, Barbara
    Thiele, Christian
    Weller, Gert
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 13 (08) : 1241 - 1248
  • [8] Switching from manual to automated driving and reverse: Are drivers behaving more risky after highly automated driving?
    Brandenburg, S.
    Skottke, E. -M.
    [J]. 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 2978 - 2983
  • [9] Transitions to manual control from highly automated driving in non-critical truck platooning scenarios
    Zhang, Bo
    Wilschut, Ellen S.
    Willemsen, Dehlia M. C.
    Martens, Marieke H.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 64 : 84 - 97
  • [10] A Longitudinal Simulator Study to Explore Drivers' Behaviour During Highly-Automated Driving
    Large, David R.
    Burnett, Gary
    Morris, Andrew
    Muthumani, Arun
    Matthias, Rebecca
    [J]. ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION, 2018, 597 : 583 - 594