The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections

Driver distraction has been identified as an important driving safety issue. However, existed studies focused less on low-speed condition, especially at intersections. This paper aims to find the impact of driver cognitive distraction on vehicle performance at stop-controlled intersections. Eight subjects (young adult: 4, older adult: 4) participated in this study and each of them drove through 40 stop-controlled intersections. The intersections were presented randomly at two levels of FOV (field of view). Driver cognitive distraction was induced by a one-back task and a clock task. Results showed that the cognitive tasks led to more abrupt steering in both age groups while significant influence on lane-keeping capability was only observed in the young group. Steering smoothness was mainly influenced by the cognitive tasks at brake on-restart phase in the young group while at after-restart phase in the older group. Impaired longitudinal control (stop for watching) was observed in the older adult group. These findings can be applied to automatically recognize driver distraction at stop-controlled intersections in future.

[1]  Heidi D. Howarth,et al.  An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies , 2009 .

[2]  Elsevier Sdol Transportation Research Part F: Traffic Psychology and Behaviour , 2009 .

[3]  Marieke Hendrikje Martens,et al.  Measuring distraction: the Peripheral Detection Task , 2000 .

[4]  Robert E. Dewar,et al.  Human factors in traffic safety , 2002 .

[5]  Moshe Eizenman,et al.  An on-road assessment of cognitive distraction: impacts on drivers' visual behavior and braking performance. , 2007, Accident; analysis and prevention.

[6]  Bryan Reimer,et al.  Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task , 2012, Hum. Factors.

[7]  M. Itoh,et al.  Influence of cognitively distracting activity on driver’s eye movement during preparation of changing lanes , 2008, 2008 SICE Annual Conference.

[8]  Johan Engström,et al.  Effects of visual and cognitive load in real and simulated motorway driving , 2005 .

[9]  Michael J. Goodman,et al.  NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE , 2001 .

[10]  Christopher D. Wickens,et al.  Multiple resources and performance prediction , 2002 .

[11]  Erwin R. Boer,et al.  Development of a steering entropy method for evaluating driver workload , 1999 .

[12]  Frank Schieber,et al.  Assessment of Age Differences in Mental Workload while Driving using Verbal versus Visual-Spatial Subsidiary Tasks , 2006 .

[13]  Karel Brookhuis,et al.  Issues arising from the HASTE experiments , 2005 .

[14]  A. Horst A time-based analysis of road user behaviour in normal and critical encounters , 1990 .

[15]  Albert Kircher,et al.  Using mobile telephones: cognitive workload and attention resource allocation. , 2004, Accident; analysis and prevention.

[16]  Ying Wang,et al.  The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand , 2014, Transportation Research Part F: Traffic Psychology and Behaviour.

[17]  John D Lee,et al.  Combining cognitive and visual distraction: less than the sum of its parts. , 2010, Accident; analysis and prevention.

[18]  Christopher D. Wickens,et al.  Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques , 2006, Hum. Factors.

[19]  Guofa Li,et al.  Effectiveness of Flashing Brake and Hazard Systems in Avoiding Rear-End Crashes , 2014 .

[20]  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.

[21]  M. Woodward,et al.  The prevalence of, and factors associated with, serious crashes involving a distracting activity. , 2007, Accident; analysis and prevention.