Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance

被引:43
作者
Amini, Roja Ezzati [1 ]
Al Haddad, Christelle [1 ]
Batabyal, Debapreet [1 ]
Gkena, Isidora [1 ]
De Vos, Bart [2 ]
Cuenen, Ariane [3 ]
Brijs, Tom [3 ]
Antoniou, Constantinos [1 ]
机构
[1] Tech Univ Munich, Chair Transportat Syst Engn, TUM Sch Engn & Design, D-85748 Munich, Germany
[2] DriveSimSolutions, Diepenbeek, Belgium
[3] UHasselt, Transportat Res Inst, Sch Transportat Sci, Diepenbeek, Belgium
关键词
Driving simulator; Distraction; Eye movement behaviour; Driving behaviour; Advanced driver assistance systems; BEHAVIOR; CRASHES; RISK;
D O I
10.1016/j.aap.2023.107195
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Driving simulator studies are popular means to investigate driving behaviour in a controlled environment and test safety-critical events that would otherwise not be possible in real-world driving conditions. While several factors affect driving performance, driving distraction has been emphasised as a safety-critical issue across the globe. In this context, this study explores the impact of distraction imposed by mobile phone usage, i.e., writing and reading text messages, on driver behaviour. As part of the greater i-DREAMS project, this study uses a car driving simulator experimental design in Germany to investigate driver behaviour under various conditions: (I) monitoring scenario representing normal driving conditions, (II) intervention scenario in which drivers receive fixed timing in-vehicle intervention in case of unsafe driving manoeuvres, and (III) distraction scenario in which drivers receive in-vehicle interventions based on task completion capability, where mobile phone distraction is imposed. Besides, eye-tracking glasses are used to further explore drivers' attention allocation and eye movement behaviour. This research focuses on driver response to risky traffic events (i.e., potential pedestrian collisions, and tailgating) and the impact of distraction on driving performance, by analysing a set of eye movement and driving performance measures of 58 participants. The results reveal a significant change in drivers' gaze patterns during the distraction drives with significantly higher gaze points towards the i-DREAMS intervention display (the utilised advanced driver assistance systems in this study). The overall statistical analysis of driving performance measures suggests nearly similar impacts on driver behaviour during distraction drives; a higher deviation of lateral positioning was noted irrespective of the event risk levels and lower longitudinal acceleration rates were observed for pedestrian collisions and non-critical events during distracted driving.
引用
收藏
页数:12
相关论文
共 39 条
[1]   Risk scenario designs for driving simulator experiments [J].
Amini, Roja Ezzati ;
Michelaraki, Eva ;
Katrakazas, Christos ;
Al Haddad, Christelle ;
De Vos, Bart ;
Cuenen, Ariane ;
Yannis, George ;
Brij, Tom ;
Antoniou, Constantinos .
2021 7TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2021,
[2]   Second strategic highway research program naturalistic driving study methods [J].
Antin, Jonathan F. ;
Lee, Suzie ;
Perez, Miguel A. ;
Dingus, Thomas A. ;
Hankey, Jonathan M. ;
Brach, Ann .
SAFETY SCIENCE, 2019, 119 :2-10
[3]  
Basacik D., 2012, Smartphone use while driving: a simulator study
[4]   Observed driver glance behavior at roadside advertising signs [J].
Beijer, D ;
Smiley, A ;
Eizenman, M .
DRIVER AND VEHICLE SIMULATION, HUMAN PERFORMANCE, AND INFORMATION SYSTEMS FOR HIGHWAYS; RAILROAD SAFETY; AND VISUALIZATION IN TRANSPORTATION, 2004, (1899) :96-103
[5]   Smartwatches are more distracting than mobile phones while driving: Results from an experimental study [J].
Brodeur, Mathieu ;
Ruer, Perrine ;
Leger, Pierre-Majorique ;
Senecal, Sylvain .
ACCIDENT ANALYSIS AND PREVENTION, 2021, 149
[6]   A meta-analysis of the effects of texting on driving [J].
Caird, Jeff K. ;
Johnston, Kate A. ;
Wiliness, Chelsea R. ;
Asbridge, Mark ;
Steel, Piers .
ACCIDENT ANALYSIS AND PREVENTION, 2014, 71 :311-318
[7]   Are driving simulators effective tools for evaluating novice drivers' hazard anticipation, speed management, and attention maintenance skills? [J].
Chan, Elsa ;
Pradhan, Anuj K. ;
Pollatsek, Alexander ;
Knodler, Michael A. ;
Fisher, Donald L. .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2010, 13 (05) :343-353
[8]   Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China [J].
Chen, Zhijun ;
Wu, Chaozhong ;
Zhong, Ming ;
Lyu, Nengchao ;
Huang, Zhen .
ACCIDENT ANALYSIS AND PREVENTION, 2015, 81 :251-259
[9]   Modelling driver distraction effects due to mobile phone use on reaction time [J].
Choudhary, Pushpa ;
Velaga, Nagendra R. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2017, 77 :351-365
[10]   An eye-tracking study on the road examining the effects of handsfree phoning on visual attention [J].
Desmet, Charlotte ;
Diependaele, Kevin .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 60 :549-559