Time-to-contact estimation errors among older drivers with useful field of view impairments.

Previous research indicates that useful field of view (UFOV) decline affects older driver performance. In particular, elderly drivers have difficulty estimating oncoming vehicle time-to-contact (TTC). The objective of this study was to evaluate how UFOV impairments affect TTC estimates in elderly drivers deciding when to make a left turn across oncoming traffic. TTC estimates were obtained from 64 middle-aged (n=17, age=46±6years) and older (n=37, age=75±6years) licensed drivers with a range of UFOV abilities using interactive scenarios in a fixed-base driving simulator. Each driver was situated in an intersection to turn left across oncoming traffic approaching and disappearing at differing distances (1.5, 3, or 5s) and speeds (45, 55, or 65mph). Drivers judged when each oncoming vehicle would collide with them if they were to turn left. Findings showed that TTC estimates across all drivers, on average, were most accurate for oncoming vehicles travelling at the highest velocities and least accurate for those travelling at the slowest velocities. Drivers with the worst UFOV scores had the least accurate TTC estimates, especially for slower oncoming vehicles. Results suggest age-related UFOV decline impairs older driver judgment of TTC with oncoming vehicles in safety-critical left-turn situations. Our results are compatible with national statistics on older driver crash proclivity at intersections.

[1]  John D Lee,et al.  Augmented reality cues to assist older drivers with gap estimation for left-turns. , 2014, Accident; analysis and prevention.

[2]  W. Schiff,et al.  Aging persons' estimates of vehicular motion. , 1992, Psychology and aging.

[3]  Xuedong Yan,et al.  Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance. , 2007, Accident; analysis and prevention.

[4]  John D. Lee,et al.  Augmented Reality Cues and Elderly Driver Hazard Perception , 2013, Hum. Factors.

[5]  Jack M. Loomis,et al.  Visual perception of egocentric distance in real and virtual environments. , 2003 .

[6]  Deborah Hix,et al.  A Perceptual Matching Technique for Depth Judgments in Optical, See-Through Augmented Reality , 2006, IEEE Virtual Reality Conference (VR 2006).

[7]  R. Sekuler,et al.  Human aging and spatial vision. , 1980, Science.

[8]  Janine G. Walker,et al.  Cognitive, sensory and physical factors enabling driving safety in older adults. , 2005, Clinical psychology review.

[9]  A Burg,et al.  VISION AND AUDITION IN DRIVING , 1974 .

[10]  Joseph L. Gabbard,et al.  Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications , 2014, Proceedings of the IEEE.

[11]  Jennifer Alexander,et al.  Factors influencing the probability of an incident at a junction: results from an interactive driving simulator. , 2002, Accident; analysis and prevention.

[12]  P. Hancock,et al.  The Perception of Arrival Time for Different Oncoming Vehicles at an Intersection , 1994 .

[13]  Orlando Fernandes,et al.  Time-to-Arrival and Useful Field of View: Associations with Reported Driving Difficulties Among Older Adults , 2017 .

[14]  Patricia R. DeLucia,et al.  Judgments about collision in younger and older drivers , 2003 .

[15]  R. Mortimer,et al.  Drivers' estimates of time to collision. , 1994, Accident; analysis and prevention.

[16]  John D. Lee,et al.  Effects of Augmented Reality Cues on Driver Hazard Perception , 2010 .

[17]  Karlene K. Ball,et al.  Reliability and Validity of Useful Field of View Test Scores as Administered by Personal Computer , 2005, Journal of clinical and experimental neuropsychology.

[18]  Peter A. Hancock,et al.  Time-to-Contact: More Than Tau Alone , 1997 .

[19]  R E Dewar,et al.  AGE DIFFERENCES - DRIVERS OLD AND YOUNG. IN: HUMAN FACTORS IN TRAFFIC SAFETY , 2002 .

[20]  A F Sanders,et al.  Some aspects of the selective process in the functional visual field. , 1970, Ergonomics.

[21]  L. Boyle,et al.  Age-related differences in visual scanning at median-divided highway intersections in rural areas. , 2009, Accident; analysis and prevention.

[22]  K Ball,et al.  Identifying Correlates of Accident Involvement for the Older Driver , 1991, Human factors.

[23]  Michelle L. Rusch,et al.  Susceptibility to social pressure following ventromedial prefrontal cortex damage. , 2015, Social cognitive and affective neuroscience.

[24]  Nikiforos Stamatiadis,et al.  Problem Driving Maneuvers of Elderly Drivers , 2003 .

[25]  Errol R. Hoffmann,et al.  Scaling of Relative Velocity between Vehicles , 1994 .

[26]  Donald L. Fisher,et al.  The Effect of Active Versus Passive Training Strategies on Improving Older Drivers’ Scanning in Intersections , 2009, Hum. Factors.

[27]  John D Lee,et al.  Directing driver attention with augmented reality cues. , 2013, Transportation research. Part F, Traffic psychology and behaviour.

[28]  D. Regan,et al.  Dissociation of discrimination thresholds for time to contact and for rate of angular expansion , 1993, Vision Research.

[29]  A. W. Blackwell,et al.  Age differences in perceiving the direction of self-motion from optical flow. , 1989, Journal of gerontology.

[30]  Mark S Horswill,et al.  Motorcycle Accident Risk Could Be Inflated by a Time to Arrival Illusion , 2005, Optometry and vision science : official publication of the American Academy of Optometry.

[31]  Jeff K. Caird,et al.  Visual Search for Traffic Signs: The Effects of Clutter, Luminance, and Aging , 2001, Hum. Factors.

[32]  Normand Teasdale,et al.  Mental workload when driving in a simulator: effects of age and driving complexity. , 2009, Accident; analysis and prevention.

[33]  K. Ball,et al.  Exploratory study of incident vehicle crashes among older drivers. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[34]  D. Roth,et al.  Cumulative Meta-analysis of the Relationship Between Useful Field of View and Driving Performance in Older Adults: Current and Future Implications , 2005, Optometry and vision science : official publication of the American Academy of Optometry.

[35]  T. Salthouse The processing-speed theory of adult age differences in cognition. , 1996, Psychological review.

[36]  Susan A Ferguson,et al.  Collisions Involving Senior Drivers: High-Risk Conditions and Locations , 2006, Traffic injury prevention.

[37]  Jeff K. Caird,et al.  Older Driver Failures of Attention at Intersections: Using Change Blindness Methods to Assess Turn Decision Accuracy , 2005, Hum. Factors.

[38]  Lee Dn,et al.  The optic flow field: the foundation of vision. , 1980 .

[39]  David R. Ragland,et al.  Observations of driver time gap acceptance at intersections in left-turn across-path-opposite-direction scenarios , 2005 .

[40]  C. Owsley,et al.  The useful field of view test: a new technique for evaluating age-related declines in visual function. , 1993, Journal of the American Optometric Association.

[41]  W Schiff,et al.  Information Used in Judging Impending Collision , 1979, Perception.