Guiding drivers towards safer driving speed: Exploiting visual dominance in speed adaptation |
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| Affiliation: | 1. Institute for Automotive Engineering (ika), RWTH Aachen University, Germany;2. Institute of Psychology, RWTH Aachen University, Germany;1. Academy of Professional Studies Sumadija, Department in Kragujevac, Kosovska 8, 34000 Kragujevac, Serbia;2. University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia;3. P.E. GSP Belgrade, Knjeginje Ljubice 29, 11000 Belgrade, Serbia;4. University of Montenegro, Faculty of Mechanical Engineering, Blv. Dzordza Vasingtona bb, 81000 Podgorica, Montenegro;1. Centre for Vision and Eye Research, School of Optometry and Vision Science, Queensland University of Technology, Brisbane, Australia;2. Department of Psychology, Clemson University, SC, USA;1. Monash University Accident Research Centre, Monash University, Victoria, australia;2. Road Safety Victoria, Department of Transport, Victoria, Australia;3. Victorian Institute of Forensic Medicine, Victoria, Australia;4. Monash University Eastern Health Clinical School, Victoria, Australia;5. Turner Institute for Brain and Mental Health, Monash University, Victoria, Australia;6. Sunnybrook Hospital, Ontario, Canada;7. Société de l’assurance automobile du Québec, Québec, Canada;8. Royal College of Physicians of Ireland, Dublin, Ireland;1. Key Laboratory of Special Environment Road Engineering of Hunan Province, Changsha University of Science & Technology, Changsha 410114, China;2. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Kelvin Grove, Queensland 4059, Australia;3. Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China;4. Hunan Institute of Traffic Engineering, Hengyang 421000, China;1. School of Public Health and Preventive Medicine, Monash University, Victoria, Australia;2. Melbourne School of Design, The University of Melbourne, Victoria, Australia;3. Department of Physiology, Monash University, Victoria, Australia |
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| Abstract: | Inappropriate speed is a main cause of accidents. Drivers are often unaware of potential risks due to inadequate speed. To prevent dangerous situations, we need to understand perceptual factors influencing human speed perception. Due to the prominent role of vision in driving, we examined the effect of visuo-spatial stimuli on speed based on the optic flow. While developing an adaptive infrastructure measure to reduce speed, we conducted two consecutive studies, a driving simulator study and a field test to investigate findings further. In both studies, we placed lights on two sides of a highway exit and either illuminated them statically or activated them in a way that they appeared to be moving towards the driver. We expected drivers to slow down more when seeing static light stimuli compared to a baseline without lights. We also expected drivers to decrease speed more in conditions with oncoming lights compared to a baseline, and to static lights, due to distorted speed perception. The first study in a static driving simulator revealed no difference between conditions. In the field test, both static lights and lights moving towards the driver led to a speed reduction compared to a baseline but did not differ from one another. Lights in general led to lower driving speed, potentially due to their warning character, but we found no difference between the light conditions, suggesting that the effect might not be based on the optic flow. Future research should investigate the relationship between driven and perceived speed more closely. |
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| Keywords: | Speed reduction Infrastructure nudging Adaptive safety measures Traffic safety Optic flow |
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