Drivers' engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic

被引:2
|
作者
Liu, Xian [1 ,2 ]
Madigan, Ruth [1 ]
Sadraei, Ehsan [1 ]
Lee, Yee Mun [1 ]
Merat, Natasha [1 ]
机构
[1] Univ Leeds, Inst Transport Studies, Leeds, England
[2] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
关键词
Automated vehicles; NDRTs; Glance behaviour; Distraction; Driving environment; TAKEOVER TIME; VISUAL-ATTENTION;
D O I
10.1016/j.trf.2024.01.010
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Previous simulator and real -world studies with SAE Level 2 automated vehicles (AVs) have shown that, when compared to manual driving, drivers are more inattentive to the driving environment when automation is engaged, as reflected by fewer glances towards the forward roadway and side/rear view mirrors, and more focus on non -driving related tasks (NDRTs). Manual driving studies also suggest that drivers are more likely to engage in NDRTs during slow -moving or stationary traffic conditions. The aim of the current study was to understand whether NDRT engagement and visual attention patterns are impacted by the driving environment while drivers experienced a ride in a real -world SAE Level 3 AV. Forty-six video clips, from 32 drivers interacting with NDRTs during L3 motorway driving were analysed for this study. Due to the absence of externally facing cameras, the mean and standard deviation (SD) of driving speed were used as a proxy for assessing the surrounding traffic volume. The number of glances, and mean glance duration away from NDRTs per minute, were used as proxy measures for NDRT engagement. A generalised linear mixed model (GLMM) was used to investigate the effect of surrounding traffic on NDRT engagement. Results showed that the number and mean duration of glances away from the NDRT increased significantly when the SD of speed was high. The mean speed had a significant effect on the mean glance duration, with longer glances away from NDRTs when mean speed was low, compared to that in high speed. There was a significant effect of age on NDRT engagement, with older drivers less likely to engage in another task, while female drivers were more engaged in NDRTs than males. Overall, the results indicate that drivers' propensity to engage in NDRTs is impacted by the AV's speed, which is influenced by the volume of surrounding traffic. These results are useful for understanding the implications of surrounding traffic on drivers' self -regulated engagement in NDRTs in the real world during SAE Level 3 driving.
引用
收藏
页码:332 / 339
页数:8
相关论文
共 50 条
  • [41] PADA-AD Test-a standardized test method for assessing takeover performance of drivers during automated driving
    Schoemig, Nadja
    Wiedemann, Katharina
    Manstetten, Dietrich
    Wehner, Tristan
    Neukum, Alexandra
    METHODSX, 2022, 9
  • [42] This Is Your Brain on Autopilot 2.0: The Influence of Practice on Driver Workload and Engagement During On-Road, Partially Automated Driving
    Mcdonnell, Amy S.
    Crabtree, Kaedyn W.
    Cooper, Joel M.
    Strayer, David L.
    HUMAN FACTORS, 2024, 66 (08) : 2025 - 2040
  • [43] Understanding drivers' perspectives on the use of driver monitoring systems during automated driving: Findings from a qualitative focus group study
    Coyne, Rory
    Hanlon, Michelle
    Smeaton, Alan F.
    Corcoran, Peter
    Walsh, Jane C.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 105 : 321 - 335
  • [44] Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study
    Pi-Ruano, Marina
    Fort, Alexandra
    Tejero, Pilar
    Jallais, Christophe
    Roca, Javier
    COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS, 2024, 9 (01):
  • [45] Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving
    Liang, Nade
    Yang, Jing
    Yu, Denny
    Prakah-Asante, Kwaku O.
    Curry, Reates
    Blommer, Mike
    Swaminathan, Radhakrishnan
    Pitts, Brandon J.
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 157
  • [46] Performance of an Additional Task During Level 2 Automated Driving: An On-Road Study Comparing Drivers With and Without Experience With Partial Automation
    Solis-Marcos, Ignacio
    Ahlstrom, Christer
    Kircher, Katja
    HUMAN FACTORS, 2018, 60 (06) : 778 - 792
  • [47] The difference in physical and mental fatigue development between novice young adult and experienced middle-aged adult drivers during simulated automated driving
    Tong, Yourui
    Jia, Bochen
    Bao, Shan
    Wu, Changxu
    Sethuraman, Nitya
    JOURNAL OF SAFETY RESEARCH, 2024, 91 : 165 - 174
  • [48] Effects of different non-driving-related-task display modes on drivers' eye-movement patterns during take-over in an automated vehicle
    Li, Xiaomeng
    Schroeter, Ronald
    Rakotonirainy, Andry
    Kuo, Jonny
    Lenne, Michael G.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2020, 70 : 135 - 148
  • [49] Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following
    Saffarian, M.
    Happee, R.
    de Winter, J. C. F.
    ERGONOMICS, 2012, 55 (09) : 971 - 985
  • [50] Effect of cognitive load on drivers ' State and task performance during automated driving: Introducing a novel method for determining stabilisation time following take-over of control
    Melnicuk, Vadim
    Thompson, Simon
    Jennings, Paul
    Birrell, Stewart
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 151