Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions

Previous research has indicated that high levels of vehicle automation can result in reduced driver situation awareness, but has also highlighted potential benefits of such future vehicle designs through enhanced safety and reduced driver workload. Well-designed automation allows drivers’ visual attention to be focused away from the roadway and toward secondary, in-vehicle tasks. Such tasks may be pleasant distractions from the monotony of system monitoring. This study was undertaken to investigate the impact of voluntary secondary task uptake on the system supervisory responsibilities of drivers experiencing highly-automated vehicle control. Independent factors of Automation Level (manual control, highly-automated) and Traffic Density (light, heavy) were manipulated in a repeated-measures experimental design. 49 drivers participated using a high-fidelity driving simulator that allowed drivers to see, hear and, crucially, feel the impact of their automated vehicle handling. Drivers experiencing automation tended to refrain from behaviours that required them to temporarily retake manual control, such as overtaking, resulting in an increased journey time. Automation improved safety margins in car following, however this was restricted to conditions of light surrounding traffic. Participants did indeed become more heavily involved with the in-vehicle entertainment tasks than they were in manual driving, affording less visual attention to the road ahead. This might suggest that drivers are happy to forgo their supervisory responsibilities in preference of a more entertaining highly-automated drive. However, they did demonstrate additional attention to the roadway in heavy traffic, implying that these responsibilities are taken more seriously as the supervisory demand of vehicle automation increases. These results may dampen some concerns over driver underload with vehicle automation, assuming vehicle manufacturers embrace the need for positive system feedback and drivers also fully appreciate their supervisory obligations in such future vehicle designs.

[1]  Nicholas J. Ward Automation of task processes: An example of intelligent transportation systems , 2000 .

[2]  Lena Nilsson Safety effects of adaptive cruise controls in critical traffic situations , 1995 .

[3]  Anthony G. Cohn,et al.  Enhanced Presence in Driving Simulators Using Autonomous Traffic with Virtual Personalities , 2002, Presence: Teleoperators & Virtual Environments.

[4]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[5]  Petros A. Ioannou,et al.  Intelligent cruise control: theory and experiment , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[6]  Neville A Stanton,et al.  Back to the future: Brake reaction times for manual and automated vehicles , 2007, Ergonomics.

[7]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[8]  R J Fairbanks,et al.  RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT , 1994 .

[9]  Peter A. Hancock,et al.  Fatigue and Automation-Induced Impairments in Simulated Driving Performance , 1998 .

[10]  A. Craig,et al.  A critical review of the psychophysiology of driver fatigue , 2001, Biological Psychology.

[11]  D. Casanova,et al.  A Mathematical Model for Driver Steering Control, with Design, Tuning and Performance Results , 2000 .

[12]  Paul Atchley,et al.  Potential Benefits and Costs of Concurrent Task Engagement to Maintain Vigilance , 2011, Hum. Factors.

[13]  Neville A Stanton,et al.  Driver behaviour with adaptive cruise control , 2005, Ergonomics.

[14]  Lisanne Bainbridge,et al.  Ironies of automation , 1982, Autom..

[15]  Michael A. Goodrich,et al.  Model-based human-centered task automation: a case study in ACC system design , 2003, IEEE Trans. Syst. Man Cybern. Part A.

[16]  D A Norman,et al.  The 'problem' with automation: inappropriate feedback and interaction, not 'over-automation'. , 1990, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[17]  John A. Groeger,et al.  Traffic psychology and behaviour , 1998 .

[18]  Alan D. Baddeley,et al.  Human factors in hazardous situations. , 1990, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[19]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[20]  Neville A. Stanton,et al.  From fly-by-wire to drive-by-wire: Safety implications of automation in vehicles , 1996 .

[21]  Christina M. Rudin-Brown,et al.  BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES , 2004 .

[22]  Mark S. Young,et al.  Drive-by-wire: The case of driver workload and reclaiming control with adaptive cruise control , 1997 .

[23]  Datta N. Godbole,et al.  Safety and capacity analysis of automated and manual highway systems , 1998 .

[24]  Bobbie D. Seppelt,et al.  Making adaptive cruise control (ACC) limits visible , 2007, Int. J. Hum. Comput. Stud..

[25]  M M Minderhoud,et al.  Extended time-to-collision measures for road traffic safety assessment. , 2001, Accident; analysis and prevention.

[26]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[27]  Johan Engström,et al.  Sensitivity of eye-movement measures to in-vehicle task difficulty , 2005 .

[28]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[29]  Neville A Stanton,et al.  Taking the load off: investigations of how adaptive cruise control affects mental workload , 2004, Ergonomics.

[30]  Tal Oron-Gilad,et al.  Human Factors and Ergonomics Society Annual Meeting , 2011 .

[31]  David B. Kaber,et al.  Situation awareness and workload in driving while using adaptive cruise control and a cell phone , 2005 .

[32]  W B Verwey,et al.  Fatigue, workload and adaptive driver systems. , 1997, Accident; analysis and prevention.

[33]  Guy H. Walker,et al.  AUTOMATING THE DRIVER'S CONTROL TASKS , 2001 .

[34]  Natasha Merat,et al.  CityMobil : Human factor issues regarding highly automated vehicles on eLane , 2009 .

[35]  W B Verwey,et al.  On-line driver workload estimation. Effects of road situation and age on secondary task measures , 2000, Ergonomics.

[36]  David J. Bryant,et al.  Model for Situation Awareness and Driving: Application to Analysis and Research for Intelligent Transportation Systems , 2001 .

[37]  Peter A. Hancock,et al.  Human factors and safety in the design of intelligent vehicle-highway systems (IVHS) , 1992 .