Effects of night-time bicycling visibility aids on vehicle passing distance

Black, Alex A.; Duff, Rebecca; Hutchinson, Madeline; Ng, Ingrid; Phillips, Kirby; Rose, Katelyn; Ussher, Abby; Wood, Joanne M.

doi:10.1016/j.aap.2020.105636

Cited by 20 publications

(11 citation statements)

References 16 publications

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“…For example, the probability of running a yellow light for male drivers in daytime driving conditions is 37.5%, while the probability of passing a yellow light for male drivers in nighttime conditions is 75%, which indicates that the probability of passing a yellow light is reduced by half. This reduction in probability can be attributed to the higher driver visibility in daytime scenarios [ 38 ], which is in line with studies that found that women are more hesitant than men to run red lights when drivers decide to do so [ 41 ].…”

Section: Discussionsupporting

confidence: 80%

“…This increased probability can be explained by the fact that the driving behavior of the sampled drivers in the nighttime scenario may lead to an increased risk. This result can be attributed to the fact that drivers have different visibility of the road under different lighting conditions [ 38 ]. In low visibility conditions, accidents are more likely to occur due to difficulties in recognizing conditions on the road, especially in encounters with pedestrians [ 39 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

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Yellow light decision based on driving style: Day or night?

et al. 2022

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Drivers’ driving decisions at yellow lights are an important cause of accidents at intersections. As proved by existing studies, driving style is an important basis for a driver to decide to pass a yellow light or not. This study, therefore, aims to investigate the effects of different driving styles on driving decisions at yellow lights under different lighting conditions. Specifically, 64 licensed drivers were recruited to comparative study the effects of different driving styles on the decision to pass through yellow lights under both daytime and nighttime lighting conditions using a driving simulator and a VR device. The results showed that maladjusted drivers more likely to pass the yellow light faster than adapted drivers (81.25% vs 43.75%) during both day and night. Male drivers had higher overall driving style scores than female drivers, and male drivers were faster and more likely to pass a yellow light than female drivers (56.25% vs 31.25%). This study also found that inexperienced drivers were faster and more likely to pass a yellow light than experienced drivers (50% vs 37.5%). Overall, maladjusted drivers are more likely to pass yellow lights, which can be improved and society properties by enhancing driving learning for maladjusted drivers.

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Section: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Yellow light decision based on driving style: Day or night?

et al. 2022

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“…For example, the probability of running a yellow light for male drivers in daytime driving conditions is (37.5%), while the probability of passing a yellow light for male drivers in nighttime conditions at the same speed is (75%), which indicates that the probability of passing a yellow light is reduced by half. This reduction in probability can be attributed to the higher driver visibility in daytime scenarios 7 , which is in line with studies that have found that women are more hesitant than men to run red lights when drivers decide to do so 34 . And the study found that the night environment provides better environmental conditions for male drivers to pass compared to female drivers.…”

Section: Gender Of Driverssupporting

confidence: 85%

“…According to Figure 6, the probability of drivers choosing to pass the yellow light in the daytime scenario is lower than the probability of drivers choosing to pass the yellow light in the nighttime scenario (31.25% < 56.25%). This reduction in probability can be attributed to the fact that drivers have different visibility of the road under different lighting conditions 7 . Under low visibility, accidents are more likely to occur due to di culties in recognizing the conditions on the road, especially in encounter scenarios with pedestrians 8, 21 .…”

Section: Driving Decisions Under Different Light Conditionsmentioning

confidence: 99%

Yellow Light Decision Based On Driving Style: Day Or Night？

Wang

Yan

Xiong

et al. 2021

Preprint

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Drivers' driving decisions at yellow lights are an important cause of accidents at intersections. According to previous studies driving style is an important basis for deciding whether a driver passes a yellow light or not. This study therefore aims to investigate the effect of different driving styles on driving decisions at yellow lights under different lighting conditions. In this paper, 64 licensed drivers were recruited to study the effect of different driving styles on the decision to drive through yellow lights under both daytime and nighttime lighting conditions using a driving simulator and a VR device. The results showed that maladjusted drivers were faster and more likely to pass the yellow light than adapted drivers (81.25% > 43.75%) in both day and night. Male drivers had higher overall driving style scores than female drivers, and male drivers were faster and more likely to pass a yellow light than female drivers (56.25% > 31.25%). The study also found that inexperienced drivers were faster and more likely to pass a yellow light than experienced drivers (50% > 37.5%). Overall, maladjusted drivers are more likely to pass yellow lights, and we can improve this situation by enhancing driving learning for maladjusted drivers.

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“…Cyclist overtaking maneuvers can be split into four phases [6], [27], [30], which may help to prioritize and develop safety systems that support the driver in reducing crash risks in those phases: 1) approaching phase: when the ego vehicle approaches the cyclist, and the driver has to decide between a flying or an accelerative maneuver, 2) steering away phase: when the driver steers away to achieve a lateral distance to the cyclist, 3) passing phase: when the ego vehicle passes the cyclist while driving in parallel, 4) returning phase: when the driver has passed the cyclist and steers back into the lane. Several recent studies investigated driver behavior in these phases by leveraging different test environments: simulator studies [31], [32], test-track studies [30], [33], field test studies [27] and naturalistic driving studies [6], [34]- [36]. While simulator and test-track studies have lower ecological validity than field tests or naturalistic driving studies, they can offer more controlled data with higher resolution, which facilitates the development of predictive driver models [5].…”

Section: Existing Research On Driver-cyclist Interaction In Overtamentioning

confidence: 99%