Pedestrians' perception and response towards vehicles during road-crossing at nighttime.

Pedestrian being involved in road traffic accidents (RTA) is about 22% of all road traffic related deaths. In this study, we have estimated the pedestrian's response towards an approaching vehicle and the time taken to correctly recognize it while they crossed the road in dim-light nighttime conditions. This is also extendable to cycles and other low powered vehicles. Thirty volunteers participated in this study. A collection of six videos, which comprised of different vehicle scenarios were shown to each of the participants. It was observed that correct identification and time to recognize the vehicle was fastest when light emitting diode (LED) strip was fixed between headlights of a four-wheeler. Average time to recognize a low beam car and a high beam car with an LED strip was 7.62±2.39s and 11.23±2.94s respectively, whereas correct identification rates of the said low beam and high beam cars with LED strips were 93.33% and 86.67% respectively. Earlier when no LED was used, time to recognize low beam car and high beam car without LED strip were 20.55±3.50s and 25.57±4.14s respectively whereas correct identification of low beam car without LED strip and high beam car without LED strip were 90.00% and 56.67% respectively. Pedestrians are therefore less confused and can take right decision while crossing the road - particularly in a poor lighting environment - when there is a demarcating illumination between headlights of vehicle.

[1]  Thierry Brenac,et al.  Motorcyclist conspicuity-related accidents in urban areas: A speed problem? , 2006 .

[2]  Yojiro Tsutsumi,et al.  Long lighting system for enhanced conspicuity of motorcycles , 2007 .

[3]  Satish V. Ukkusuri,et al.  A clustering regression approach: A comprehensive injury severity analysis of pedestrian-vehicle cr , 2013 .

[4]  Richard A. Tyrrell,et al.  Pedestrian Visibility at Night: Effects of Pedestrian Clothing, Driver Age, and Headlamp Beam Setting , 2003 .

[5]  Joanne M Wood,et al.  On-road measures of pedestrians' estimates of their own nighttime conspicuity. , 2004, Journal of safety research.

[6]  Michael Sivak,et al.  Differentiation of Visibility and Alcohol as Contributors to Twilight Road Fatalities , 1996, Hum. Factors.

[7]  Peter Boyce,et al.  Human Factors in Lighting , 2014 .

[8]  Neil A. Macmillan,et al.  Signal detection theory as data analysis method and psychological decision model , 1993 .

[9]  J G Ingham Individual differences in signal detection. , 1970, Acta psychologica.

[10]  J F Kraus,et al.  Injuries sustained by motorcycle riders in the approaching turn crash configuration. , 1996, Accident; analysis and prevention.

[11]  Richard A. Tyrrell,et al.  Limitations in Drivers' Ability to Recognize Pedestrians at Night , 2005, Hum. Factors.

[12]  J. G. Snodgrass,et al.  Pragmatics of measuring recognition memory: applications to dementia and amnesia. , 1988, Journal of experimental psychology. General.

[13]  J Luoma,et al.  Effects of retroreflector positioning on nighttime recognition of pedestrians. , 1996, Accident; analysis and prevention.

[14]  Ross H Day,et al.  Crossing roads safely: an experimental study of age differences in gap selection by pedestrians. , 2005, Accident; analysis and prevention.

[15]  Stephanie A. Whetsel Borzendowski,et al.  Pedestrians' estimates of their own nighttime conspicuity are unaffected by severe reductions in headlight illumination. , 2013, Journal of safety research.

[16]  Richard Tay,et al.  Logistic Regression Model of Risk of Fatality in Vehicle–Pedestrian Crashes on National Highways in Bangladesh , 2011 .

[17]  Dilip Mookherjee,et al.  Land Acquisition and Compensation , 2013 .

[18]  K R Gegenfurtner,et al.  Seeing movement in the dark , 1999, Nature.

[19]  Stephanie A. Whetsel Borzendowski,et al.  Drivers' judgments of the effect of headlight glare on their ability to see pedestrians at night. , 2015, Journal of safety research.

[20]  I G Pallikaris,et al.  Road traffic casualties: understanding the night-time death toll , 2006, Injury Prevention.

[21]  M J Allen,et al.  ACTUAL PEDESTRIAN VISIBILITY AND THE PEDESTRIAN'S ESTIMATE OF HIS OWN VISIBILITY* , 1970, American journal of optometry and archives of American Academy of Optometry.

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

[23]  Anders Lie,et al.  The Correlation Between Pedestrian Injury Severity in Real-Life Crashes and Euro NCAP Pedestrian Test Results , 2011, Traffic injury prevention.

[24]  Charles N Mock,et al.  An Evaluation of the Association Between Vehicle Type and the Source and Severity of Pedestrian Injuries , 2005, Traffic injury prevention.

[25]  H W Leibowitz,et al.  Nighttime driving accidents and selective visual degradation. , 1977, Science.

[26]  Mary Lynn Mefford,et al.  High visibility safety apparel and nighttime conspicuity of pedestrians in work zones. , 2004, Journal of safety research.

[27]  M. Flannagan,et al.  The role of ambient light level in fatal crashes: inferences from daylight saving time transitions. , 2002, Accident; analysis and prevention.

[28]  J. Alferdinck TRAFFIC SAFETY ASPECTS OF HIGH-INTENSITY DISCHARGE HEADLAMPS; DISCOMFORT GLARE AND DIRECTION INDICATOR CONSPICUITY , 1996 .

[29]  Hugo Merchant,et al.  Linking Perception, Cognition, and Action: Psychophysical Observations and Neural Network Modelling , 2014, PloS one.

[30]  José H. Guerrier,et al.  The Safety of Elderly Pedestrians at Five Urban Intersections in Miami , 1998 .

[31]  Glenn C. Blomquist,et al.  The Regulation of Motor Vehicle and Traffic Safety , 1988 .

[32]  Yung-Ching Liu,et al.  Risk Analysis of Pedestrians’ Road-Crossing Decisions: Effects of Age, Time Gap, Time of Day, and Vehicle Speed , 2014 .

[33]  Joanne M Wood,et al.  Effects of Age and Illumination on Night Driving: A Road Test , 2007, Hum. Factors.

[34]  Andrew Tarko,et al.  Pedestrian injury analysis with consideration of the selectivity bias in linked police-hospital data. , 2011, Accident; analysis and prevention.

[35]  N. Macmillan,et al.  Response bias : characteristics of detection theory, threshold theory, and nonparametric indexes , 1990 .

[36]  David F. Preusser,et al.  EXPERIMENTAL EVALUATION OF ALTERNATIVE CONSPICUITY-ENHANCEMENT TECHNIQUES FOR PEDESTRIANS AND BICYCLISTS , 1986 .

[37]  Jwam Alferdinck,et al.  DISCOMFORT GLARE FROM D1 HEADLAMPS OF DIFFERENT SIZE , 1991 .

[38]  D. Alfred Owens,et al.  Biological Motion and Nighttime Pedestrian Conspicuity , 1994 .

[39]  Nathan Klein,et al.  Pedestrians' estimates of their own visibility: a simple and effective computer-based technique. , 2012, Journal of safety research.

[40]  Michael Sivak,et al.  Effects of overall low-beam intensity on seeing distance in the presence of glare , 2000 .

[41]  Chih-Wei Pai,et al.  A mixed logit analysis of motorists' right-of-way violation in motorcycle accidents at priority T-junctions. , 2009, Accident; analysis and prevention.

[42]  Mohammed S. Tarawneh,et al.  Evaluation of pedestrian speed in Jordan with investigation of some contributing factors , 2001 .

[43]  Derek Troyer,et al.  Pedestrian injuries due to mobile phone use in public places. , 2013, Accident; analysis and prevention.

[44]  Juha Luoma,et al.  Effects of experience with retroreflectors on recognition of nighttime pedestrians: comparison of driver performance in Finland and Michigan , 1998 .

[45]  M Gould,et al.  Errors in judging the approach rate of motorcycles in nighttime conditions and the effect of an improved lighting configuration. , 2012, Accident; analysis and prevention.

[46]  Salaheddine Bendak,et al.  In-Depth Analysis of Pedestrian Crashes in Riyadh , 2009, Traffic injury prevention.

[47]  Johnell O Brooks,et al.  Highlighting Human Form and Motion Information Enhances the Conspicuity of Pedestrians at Night , 2008, Perception.

[48]  Michael Perel,et al.  Relation Between Glare and Driving Performance , 2002, Hum. Factors.

[49]  H Stanislaw,et al.  Calculation of signal detection theory measures , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[50]  S. Balk,et al.  The accuracy of observers' estimates of the effect of glare on nighttime vision: Do we exaggerate the disabling effects of glare? , 2010 .