How drivers adapt their behaviour to changes in task complexity: The role of secondary task demands and road environment factors

Abstract The present study investigates the impact of different sources of task complexity such as driving demands and secondary task demands on driver behaviour. Although much research has been dedicated to understanding the impact of secondary task demands or specific road traffic environments on driving performance, there is little information on how drivers adapt their behaviour to their combined presence. This paper aims to describe driver behaviour while negotiating different sources of task complexity, including mobile phone use while driving (i.e., calling and texting) and different road environments (i.e., straight segments, curves, hills, tunnels, and curves on hills). A driving simulator experiment was conducted to explore the effects of different road scenarios and different types of distraction while driving. The collected data was used to estimate driving behaviour through a Generalized Linear Mixed Model (GLMM) with repeated measures. The analysis was divided into two phases. Phase one aimed to evaluate driver performance under the presence and absence of pedestrians and oncoming traffic, different lanes width and different types of distraction. The second phase analysed driver behaviour when driving through different road geometries and lane widths and under different types of distraction. The results of the experiment indicated that drivers are likely to overcorrect position in the vehicle lane in the presence of pedestrians and oncoming traffic. The effect of road geometry on driver behaviour was found to be greater than the effect of mobile phone distraction. Curved roads and hills were found to influence preferred speeds and lateral position the most. The results of this investigation also show that drivers under visual-manual distraction had a higher standard deviation of speed and lateral position compared to the cognitive distraction and the non-distraction condition.

[1]  Andry Rakotonirainy,et al.  Collision risk management of cognitively distracted drivers in a car-following situation , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[2]  Xiaomeng Li,et al.  Drivers' gap acceptance behaviours at intersections: A driving simulator study to understand the impact of mobile phone visual-manual interactions. , 2020, Accident; analysis and prevention.

[3]  Adil Haider,et al.  An evidence-based review: Distracted driver , 2015, The journal of trauma and acute care surgery.

[4]  Simon Washington,et al.  Should I Text or Call Here? A Situation‐Based Analysis of Drivers’ Perceived Likelihood of Engaging in Mobile Phone Multitasking , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  Samuel G Charlton,et al.  Explicit and implicit processes in behavioural adaptation to road width. , 2006, Accident; analysis and prevention.

[6]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[7]  Thomas J Triggs,et al.  Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. , 2006, Accident; analysis and prevention.

[8]  Shannon M. Moore,et al.  Cell-phone use diminishes self-awareness of impaired driving , 2016, Psychonomic bulletin & review.

[9]  A. Stephens,et al.  Mobile phone involvement, beliefs, and texting while driving in Ukraine. , 2019, Accident; analysis and prevention.

[10]  Alex Chaparro,et al.  Distracted While Driving , 2013 .

[11]  Karl Kim,et al.  Self-reported handheld device use while driving. , 2019, Accident Analysis and Prevention.

[12]  J Törnros,et al.  Driving behavior in a real and a simulated road tunnel--a validation study. , 1998, Accident; analysis and prevention.

[13]  David Shinar,et al.  To call or not to call--that is the question (while driving). , 2013, Accident; analysis and prevention.

[14]  M. Sullman,et al.  Factors influencing intentions to text while driving among Polish drivers , 2018 .

[15]  Oscar Oviedo-Trespalacios,et al.  The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review , 2019, Transportation Research Part A: Policy and Practice.

[16]  Oscar Oviedo-Trespalacios,et al.  Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach. , 2018, Accident; analysis and prevention.

[17]  Jeff K Caird,et al.  Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis. , 2016, Accident; analysis and prevention.

[18]  C Collet,et al.  Phoning while driving I: a review of epidemiological, psychological, behavioural and physiological studies , 2010, Ergonomics.

[19]  Andry Rakotonirainy,et al.  Validation of a Driving Simulator Study on Driver Behavior at Passive Rail Level Crossings , 2018, Hum. Factors.

[20]  Pushpa Choudhary,et al.  Mobile phone use during driving: Effects on speed and effectiveness of driver compensatory behaviour. , 2017, Accident; analysis and prevention.

[21]  E. Muth,et al.  A questionnaire for the assessment of the multiple dimensions of motion sickness. , 2001, Aviation, space, and environmental medicine.

[22]  Paul Atchley,et al.  Conversation Limits the Functional Field of View , 2004, Hum. Factors.

[23]  Vanessa K Bowden,et al.  The long road home from distraction: Investigating the time-course of distraction recovery in driving. , 2019, Accident; analysis and prevention.

[24]  Simon Washington,et al.  "Mate! I'm running 10 min late": An investigation into the self-regulation of mobile phone tasks while driving. , 2019, Accident Analysis and Prevention.

[25]  Marco Dozza,et al.  Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving , 2014 .

[26]  Richard A. Young Cell Phone Conversation and Relative Crash Risk Update , 2018 .

[27]  Juan de Dios Luna del Castillo,et al.  Gender-related differences in distances travelled, driving behaviour and traffic accidents among university students , 2014 .

[28]  R. Fuller Towards a general theory of driver behaviour. , 2005, Accident; analysis and prevention.

[29]  Jessica Edquist,et al.  The effects of on-street parking and road environment visual complexity on travel speed and reaction time. , 2012, Accident; analysis and prevention.

[30]  Erwin R. Boer,et al.  Toward an Integrated Model of Driver Behavior in Cognitive Architecture , 2001 .

[31]  M. Abdel-Aty,et al.  Development of crash modification factors for changing lane width on roadway segments using generalized nonlinear models. , 2015, Accident; analysis and prevention.

[32]  C I Howarth,et al.  Driver behaviour in the presence of child and adult pedestrians. , 1985, Ergonomics.

[33]  Oscar Oviedo-Trespalacios,et al.  Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving , 2018, Transportation Research Part A: Policy and Practice.

[34]  George Yannis,et al.  Review and ranking of crash risk factors related to the road infrastructure. , 2019, Accident; analysis and prevention.

[35]  Yao Xiao,et al.  Analysis of factors affecting drivers’ choice to engage with a mobile phone while driving in Beijing , 2016 .

[36]  Thomas A. Dingus,et al.  The driver-level crash risk associated with daily cellphone use and cellphone use while driving. , 2018, Accident; analysis and prevention.

[37]  Mohamed Abdel-Aty,et al.  Temporal and spatial analyses of rear-end crashes at signalized intersections. , 2006, Accident; analysis and prevention.

[38]  Régis Lobjois,et al.  The effects of lane width, shoulder width, and road cross-sectional reallocation on drivers' behavioral adaptations. , 2017, Accident; analysis and prevention.

[39]  Peter R. Bakhit,et al.  Crash and Near-Crash Risk Assessment of Distracted Driving and Engagement in Secondary Tasks: A Naturalistic Driving Study , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[40]  Samuel G Charlton,et al.  The role of attention in horizontal curves: a comparison of advance warning, delineation, and road marking treatments. , 2007, Accident; analysis and prevention.

[41]  Simon Washington,et al.  Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers. , 2017, Accident; analysis and prevention.

[42]  Pushpa Choudhary,et al.  Modelling driver distraction effects due to mobile phone use on reaction time , 2017 .

[43]  Simon Washington,et al.  Understanding the impacts of mobile phone distraction on driving performance: A systematic review , 2016 .

[44]  Oscar Oviedo-Trespalacios,et al.  A hierarchical Bayesian multivariate ordered model of distracted drivers’ decision to initiate risk-compensating behaviour , 2020 .