Blind haste: As light decreases, speeding increases

Bellis, Emanuel de; Schulte‐Mecklenbeck, Michael; Brucks, Wernher M.; Herrmann, Andreas; Hertwig, Ralph

doi:10.1371/journal.pone.0188951

Cited by 21 publications

(11 citation statements)

References 39 publications

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“…For the impact of viaduct or road tunnel indicator is similar with previous study [ 34 , 35 ], indicating tunnel with low illumination and monotonous environment may encourage drivers to exceed speed limits, the finding can be explained as isolated road right. Road viaduct, which offers drivers express passageways to go across the busy areas, reduces the conflict of non-motorized vehicle and vehicles from opposite direction, and thus, guaranteeing the isolated road right which leads to more speeding violation in practice.…”

Section: Resultssupporting

confidence: 85%

Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data

Liu

Jiang

et al. 2020

PLoS ONE

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Speeding behavior, especially serious speeding, is more common in taxi driver than other driving population due to their high exposure under traffic environment, which increases the risk of being involved in crashes. In order to prevent the taxi and other road users from speed-related crash, previous studies have revealed contributors of demographic and driving operation affecting taxi speeding frequency. However, researches regarding road factors, and spatial effect are typically rare. For this sake, the current study explores the contributions of 10 types of road characteristics and two kinds of spatial effects (spatial correlation and spatial heterogeneity) on taxi total speeding and serious speeding frequency. Taxi GPS trajectory data in a Chinese metropolis were used to identify speeding event. The study then established four kinds of Bayesian hierarchical count models base on Poisson and negative binominal distribution to estimate the contributor impacts, respectively. Results show that Bayesian hierarchical spatial Poisson log-linear model is optimum for fitting both total and serious speeding frequency. For the analysis, it is found that drivers are more likely to commit speeding on long multilane road with median strip, and road with non-motorized vehicle lane, bus-only lane and viaduct or road tunnel. Roads with low speed limit, and work zone are associated with increasing speeding as well. In terms of serious speeding, bus-only lane is not a contributor, while road speed camera number and one-way organization are significantly positive to the speeding frequency. Furthermore, it reveals that two spatial effects significantly increase the occurrence of speeding events; the impact of spatial heterogeneity is more critical.

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Section: Resultssupporting

confidence: 85%

Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data

Liu

Jiang

et al. 2020

PLoS ONE

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“…Besides all those factors that rather depend on depth cues and parameters of the study design, environmental conditions such as the weather can also have an impact: Snowden, Stimpson, and Ruddle (1998), who compared self-perceived speed of drivers in clear, misty, and foggy conditions, noticed that subjects underestimated their speed significantly when visibility dropped. De Bellis, Schulte-Mecklenbeck, Brucks, Herrmann, and Hertwig (2018), as well as Gegenfurtner, Mayser, and Sharpe (1999), noted that a decreased environmental brightness may lead to an underestimation of driven speed.…”

Section: Factors Affecting Impending Collision Judgmentsmentioning

confidence: 99%

Impending Collision Judgment from an Egocentric Perspective in Real and Virtual Environments: A Review

Feldstein

2019

Perception

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The human egocentric perception of approaching objects and the related perceptual processes have been of interest to researchers for several decades. This article gives a literature review on numerous studies that investigated the phenomenon when an object approaches an observer (or the other way around) with the goal to single out factors that influence the perceptual process. A taxonomy of metrics is followed by a breakdown of different experimental measurement methods. Thereinafter, potential factors affecting the judgment of approaching objects are compiled and debated while divided into human factors (e.g., gender, age, and driving experience), compositional factors (e.g., approaching velocity, spatial distance, and observation time), and technical factors (e.g., field of view, stereoscopy, and display contrast). Experimental findings are collated, juxtaposed, and critically discussed. With virtual-reality devices having taken a tremendous developmental leap forward in the past few years, they have been able to gain ground in experimental research. Therefore, special attention in this article is also given to the perception of approaching objects in virtual environments and put in contrast to the perception in reality.

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“…Crashes that occurred at night without road lights are more likely to cause fatal injury crashes. Driving at night without road lights may result in impaired hazard perception and reaction time of the driver [80,93,94]. Despite driving in darkness, the low traffic volume at night time may motivate some drivers for aberrant driving such as speeding or traffic light violations [95].…”

Section: Environmental Characteristicsmentioning

confidence: 99%

An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan

Ullah

Farooq

Shah

2021

Journal of Advanced Transportation

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Road transport is the dominant mode of transport in Pakistan carrying 91% of the country’s passenger traffic and 96% of freight traffic. National highways, being 3.7% of the entire road network, carry 80% of commercial traffic. Due to the high number of road traffic crashes and resulting fatalities, a random parameters logit model was estimated to determine the risk factors that influence the severity of injuries caused by motor vehicle crashes on national highways. The effects of driver characteristics, crash characteristics, highway characteristics, temporal characteristics, and environmental characteristics were considered for the analysis. From the results, it was revealed that many factors such as overspeeding, driver dozing, driver carelessness, driver age <25 years, truck, rickshaw, single vehicle, horizontal curve, potholes, night without road lights, AM peak, Tuesday, weekdays, May, July, November, cloudy weather, clear weather, normal visibility, and wet road surface affect injury severity of the crash victims. The results are expected to be useful for transport planners, traffic managers, road engineers, and other stakeholders both from public and private sectors in prioritizing road sections for improvements and implementing suitable road safety interventions. This will ultimately result in the decreased social and economic burden of road traffic injuries (RTIs).

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Blind haste: As light decreases, speeding increases

Cited by 21 publications

References 39 publications

Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data

Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data

Impending Collision Judgment from an Egocentric Perspective in Real and Virtual Environments: A Review

An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan

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