methodology 14 participants aged from 22 to 49 years of age (mean 32 years)

1
Judging the approach speed of motorcycles and cars under different lighting conditions Mark Gould 1 , John Wann 1 , Damian Poulter 1 , Shaun Helman 2 1 Royal Holloway, University of London, UK 2 Transport Research Laboratory, UK Methodology 14 participants aged from 22 to 49 years of age (Mean 32 years). Adaptive (BEST-PEST) staircase procedure. All main headlight diameters set to 20cm. Tri-headlight flanking lights set to a diameter of 10cm. Reference car stimulus that travelled at 30 mph. Sequential stimulus presentation Task - “which vehicle was travelling fastest?” Vehicle images / headlights changed in size and expansion to simulate approach. A TTP of 4 seconds was used across all experiments. Speed judgments made across five different lighting conditions. Photo-realistic images of a car and motorcycle were presented in a virtual city environment The environment and stimuli were both reactive to the overall ambient light level. Discussion Speed judgments for cars constant across all lighting levels Speed judgments for solo headlight motorcycles significantly impaired under low level lighting conditions Inclusion of tri-headlight formation significantly improves accuracy under low light level conditions Can the tri-headlight formation improve conspicuity? Important to inform drivers that even once a motorcycle is detected within a scene, speed judgments may still be inaccurate Important to stress that speed misperception is likely to increase under low luminance Funded by the United Kingdom Engineering and Physical Sciences Research Council (Grant EP/P504309/1). Results Two way repeated measures ANOVA revealed a significant main effect of light level (p < .01) and a significant main effect of vehicle type (p < .001). The ANOVA also revealed a significant interaction between light level and vehicle type (p < .01). Introduction Disproportionate number of traffic accidents occur after dark (Plainis et al. 2006). 50% of fatal accidents occur between the hours of 6am and 6pm (CARE, 2007). Driver vision in the dark is seriously impaired compared with daylight (Sullivan et al. 2004). Drivers can gauge the speed of a vehicle by dividing the optical size by the rate of expansion (Lee, 1976). Larger vehicles will loom to a greater extent than smaller vehicles (Horswill et al. 2005). Drivers are poor at judging the speed of motorcycles at night due to insufficient surface area provided by the solo motorcycle headlight (Gould et al. In Press). Motion perception using rod photoreceptors is significantly impaired (Gegenfurtner et al. 1999). Higher than average number of ROWV involving a motorcyclist occur during low lighting conditions (Pai et al. 2009). Vehicles Driver performance for judging the speed of the car stimulus did not significantly differ across lighting conditions Driver performance for judging the speed of the solo headlight motorcycle was significantly more accurate in the daylight condition compared with the early night (p < .05) and the nighttime (p < .01) conditions. Driver performance for judging the speed of the solo headlight motorcycle was also significantly more accurate in the lower daylight condition compared with the nighttime condition (p < .05) and in the dusk condition compared with the nighttime condition (p < .05) Driver performance for judging the speed of the tri-headlight motorcycle stimulus did not significantly differ across lighting conditions Lighting Levels Participants were more accurate at judging the speed of the car compared with the solo headlight motorcycle across all conditions (p < .05). Participants were more accurate at judging the speed of the car compared with the tri- headlight motorcycle in the lower daylight and nighttime conditions (p < .05). Participants were more accurate at judging the speed of the tri-headlight motorcycle compared with the solo headlight motorcycle in the early night and nighttime conditions (p < .05). Day Lower Daylight Dusk Early Night Night 0 10 20 30 40 50 60 70 80 90 Solo Motorcycle Car Light Level Speed Difference (mph) Fig. 1b Lower Daylight Condition Fig. 1a Daylight Condition Fig. 1c Dusk Condition Fig. 1d Early Night Condition Fig. 1e Nighttime Condition

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Results Two way repeated measures ANOVA revealed a significant main effect of light level ( p < .01) and a significant main effect of vehicle type ( p < .001). The ANOVA also revealed a significant interaction between light level and vehicle type ( p < .01). Introduction - PowerPoint PPT Presentation

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Page 1: Methodology   14 participants aged from 22 to 49 years of age (Mean 32 years)

Judging the approach speed of motorcycles and cars under different lighting conditions 

Mark Gould1, John Wann1, Damian Poulter1, Shaun Helman2

1Royal Holloway, University of London, UK2Transport Research Laboratory, UK

Methodology• 14 participants aged from 22 to 49 years of age (Mean 32 years).• Adaptive (BEST-PEST) staircase procedure.• All main headlight diameters set to 20cm. Tri-headlight flanking lights set to a diameter of 10cm.• Reference car stimulus that travelled at 30 mph.• Sequential stimulus presentation • Task - “which vehicle was travelling fastest?”• Vehicle images / headlights changed in size and expansion to simulate approach.• A TTP of 4 seconds was used across all experiments.• Speed judgments made across five different lighting conditions.• Photo-realistic images of a car and motorcycle were presented in a virtual city

environment• The environment and stimuli were both reactive to the overall ambient light level.

Discussion

• Speed judgments for cars constant across all lighting levels• Speed judgments for solo headlight motorcycles significantly impaired under low

level lighting conditions• Inclusion of tri-headlight formation significantly improves accuracy under low

light level conditions• Can the tri-headlight formation improve conspicuity?• Important to inform drivers that even once a motorcycle is detected within a

scene, speed judgments may still be inaccurate• Important to stress that speed misperception is likely to increase under low

luminance

Funded by the United Kingdom Engineering and Physical Sciences Research Council (Grant EP/P504309/1).

Results

• Two way repeated measures ANOVA revealed a significant main effect of light level (p

< .01) and a significant main effect of vehicle type (p < .001).• The ANOVA also revealed a significant interaction between light level and vehicle

type (p < .01).

Introduction• Disproportionate number of traffic accidents occur after dark (Plainis et al. 2006).• 50% of fatal accidents occur between the hours of 6am and 6pm (CARE, 2007).• Driver vision in the dark is seriously impaired compared with daylight (Sullivan et al. 2004).• Drivers can gauge the speed of a vehicle by dividing the optical size by the rate of

expansion (Lee, 1976).• Larger vehicles will loom to a greater extent than smaller vehicles (Horswill et al. 2005).• Drivers are poor at judging the speed of motorcycles at night due to insufficient surface

area provided by the solo motorcycle headlight (Gould et al. In Press).• Motion perception using rod photoreceptors is significantly impaired (Gegenfurtner et al.

1999).• Higher than average number of ROWV involving a motorcyclist occur during low lighting

conditions (Pai et al. 2009).

Vehicles

• Driver performance for judging the speed of the car stimulus did not significantly differ

across lighting conditions• Driver performance for judging the speed of the solo headlight motorcycle was

significantly more accurate in the daylight condition compared with the early night (p < .05) and the nighttime (p < .01) conditions. Driver performance for judging the speed

of the solo headlight motorcycle was also significantly more accurate in the lower daylight condition compared with the nighttime condition (p < .05) and in the dusk condition compared with the nighttime condition (p < .05)

• Driver performance for judging the speed of the tri-headlight motorcycle stimulus did not significantly differ across lighting conditionsLighting Levels

• Participants were more accurate at judging the speed of the car compared with the solo headlight motorcycle across all conditions (p < .05).

• Participants were more accurate at judging the speed of the car compared with the tri- headlight motorcycle in the lower daylight and nighttime conditions (p < .05).

• Participants were more accurate at judging the speed of the tri-headlight motorcycle compared with the solo headlight motorcycle in the early night and nighttime conditions (p < .05).

Day Lower Daylight Dusk Early Night Night0

10

20

30

40

50

60

70

80

90

Solo MotorcycleCarTri-headlight Motorcycle

Light Level

Spee

d D

iffer

ence

(mph

)Fig. 1b

Lower Daylight ConditionFig. 1a

Daylight Condition

Fig. 1c

Dusk Condition

Fig. 1d

Early Night ConditionFig. 1e

Nighttime Condition