Improving car drivers' perception of motorcycle motion through innovative headlight configurations.

The most frequent cause of motorcycle accidents occurs when another vehicle violates the motorcycle's right-of-way at an intersection. In addition to detection errors, misperception of the approaching motorcycle's speed and time-to-arrival is another driver error that accounts for these accidents, although this error has been studied less often. Such misperceptions have been shown to be related to the small size of motorcycles and to their small angular velocity when approaching. In two experiments we tested the impact of different motorcycle headlight configurations in various ambient lighting conditions (daytime, dusk, and nighttime). The participants drove on a driving simulator and had to turn left across a line of vehicles composed of motorcycles and cars. The motorcycles were approaching at different speeds and were equipped with either a "standard" headlight, a "horizontal" configuration (added to the standard headlight were two lights on the rearview mirrors so as to visually increase the horizontal dimension of the motorcycle), a "vertical" configuration (one light on the rider's helmet and two lights on the fork were added to the standard headlight so as to increase the vertical dimension of the motorcycle), or a "combined" configuration (combining the horizontal and vertical configurations). The findings of the first experiment in nighttime conditions indicated that both the vertical and combined configurations significantly increased the gap car drivers accepted with respect to the motorcycle as compared to the standard configuration, and that the accepted gaps did not differ significantly from those accepted for cars. The advantage of the vertical and combined configurations showed up especially when the motorcycle's approach speed was high. The findings of the second experiment in dusk and daytime conditions indicated similar patterns, but the headlight-configuration effect was less pronounced at dusk, and nonsignificant during the day. The results are discussed with regards to possible applications for motorcycles.

[1]  Viola Cavallo,et al.  The effects of age and traffic density on street-crossing behavior. , 2013, Accident; analysis and prevention.

[2]  Thierry Brenac,et al.  Motorcyclists' speed and "looked-but-failed-to-see" accidents. , 2012, Accident; analysis and prevention.

[3]  Viola Cavallo,et al.  Influence of front light configuration on the visual conspicuity of motorcycles. , 2014, Accident; analysis and prevention.

[4]  P R DeLucia,et al.  Pictorial and motion-based information for depth perception. , 1991, Journal of experimental psychology. Human perception and performance.

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

[6]  Aurélie Dommes,et al.  Can simulator-based training improve street-crossing safety for elderly pedestrians? , 2012 .

[7]  Viola Cavallo,et al.  Age-related differences in street-crossing decisions: the effects of vehicle speed and time constraints on gap selection in an estimation task. , 2007, Accident; analysis and prevention.

[8]  David D Clarke,et al.  The role of motorcyclist and other driver behaviour in two types of serious accident in the UK. , 2007, Accident; analysis and prevention.

[9]  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.

[10]  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.

[11]  Viola Cavallo,et al.  Are car daytime running lights detrimental to motorcycle conspicuity? , 2012, Accident; analysis and prevention.

[12]  Pnina Gershon,et al.  Increasing motorcycles attention and search conspicuity by using Alternating-Blinking Lights System (ABLS). , 2013, Accident; analysis and prevention.

[13]  M Gould,et al.  Judgments of approach speed for motorcycles across different lighting levels and the effect of an improved tri-headlight configuration. , 2012, Accident; analysis and prevention.

[14]  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.

[15]  Daniel Mestre,et al.  TIME-TO-COLLISION JUDGEMENTS: VISUAL AND SPATIO-TEMPORAL FACTORS , 1997 .

[16]  Bernhard Schlag,et al.  Recognisability of different configurations of front lights on motorcycles. , 2012, Accident; analysis and prevention.

[17]  David R. Thom,et al.  MOTORCYCLE ACCIDENT CAUSE FACTORS AND IDENTIFICATION OF COUNTERMEASURES. VOLUME II: APPENDIX/SUPPLEMENTAL DATA , 1980 .

[18]  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.

[19]  Viola Cavallo,et al.  The effects of aging on street-crossing behavior: from estimation to actual crossing. , 2009, Accident; analysis and prevention.

[20]  P Van Elslande,et al.  Typical human errors in traffic accidents involving powered two-wheelers , 2010 .

[21]  Aurélie Dommes,et al.  The role of perceptual, cognitive, and motor abilities in street‐crossing decisions of young and older pedestrians , 2011, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[22]  K Maruyama,et al.  Study of FACE Design, Lighting System Design for Enhanced Detection Rate of Motorcycles , 2009 .

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