Identifying Crash Patterns on Roundabouts

Polders, Evelien; Daniëls, Stijn; Casters, Winfried; Brijs, Tom

doi:10.1080/15389588.2014.927576

Cited by 35 publications

(18 citation statements)

References 17 publications

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“…We chose to focus on these junctions rather than intersections, as some crashes still occur on the former. Moreover, as some dominantly occurring crash types on roundabouts such as rear-end crashes, entering-circulating crashes, and singlevehicle collisions occur at different parts of roundabouts [4], we examined five locations on roundabouts to assess drivers' behaviors.…”

Section: Eye Movement and Distracted Drivingmentioning

confidence: 99%

“…Similar results were presented in the annual crash reports provided by Spain's National Traffic Department (DGT), which stated that traffic accidents at roundabouts increased by 34% from 2012 to 2016 and that fatal accidents in these road junctions doubled during the same period [2]. Most traffic crashes that occur at roundabouts are entering/exiting circulating crashes, rear-end crashes, collisions with pedestrians and cyclists, and collisions with parts of roundabouts (e.g., central island, curb) [3,4]. Arndt and Troutbeck [3] reported that roughly 80% of traffic crashes at roundabouts take place on entry lanes, mostly because of a driver's failure to give the right of way to oncoming traffic or vulnerable road users [5].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

et al. 2021

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Roundabouts are considered as one of the most efficient forms of intersection that substantially reduce the types of crashes that result in injury or loss of life. Nevertheless, they do not eliminate collision risks, especially when human error plays such a large role in traffic crashes. In this study, we used a driving simulator and an eye tracker to investigate drivers’ eye movements under cell phone-induced distraction. A total of 45 drivers participated in two experiments conducted under distracted and non-distracted conditions. The results indicated that, under distracting conditions, the drivers’ fixation duration decreased significantly on roundabouts, and pupil size increased significantly.

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Section: Eye Movement and Distracted Drivingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

et al. 2021

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“…As a result, the findings of this study result in a detailed description of the crash patterns at signalized intersections, which provide insights into the safety impact and possible safety issues of this intersection design. Other studies have also applied the same or similar methods to other locations including stop-sign-controlled intersections (21), roundabouts (22), freeway ramps (23), and work zone crashes (24).…”

Section: Study Objectivementioning

confidence: 99%

Crash Patterns at Signalized Intersections

Polders

Daniëls

Hermans

et al. 2015

Transportation Research Record

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Traffic signals are often implemented to provide for efficient movement and to improve traffic safety. Nevertheless, severe crashes still occur at signalized intersections. This study aims to improve understanding of signalized intersection safety by identifying crash types, locations, and factors associated with signalized intersections. For this purpose, 1,295 police-reported crashes at 87 signalized intersections were analyzed on the basis of detailed crash descriptions, that is, crash data and collision diagrams. The information from the collision diagrams was used to distinguish six crash types and to create a crash location typology to divide the signalized intersection into 13 detailed typical segments. Logistic regression modeling techniques were used to identify relations between crash types, their crash location on certain signalized intersection segments, the crash severity, and the different features that affected crash occurrence. Four dominant crash types were identified: rear-end, side (i.e., left-turn plus right-angle), head-on, and vulnerable road user crashes. The results of the logistic regression models showed that the location of these crash types was related to specific signalized intersection segments. The results also revealed important signalized intersection features that affected the crash occurrence. As a result, connections between certain signalized intersection crash types, their crash location, and signalized intersection design characteristics were found. The combination of intersection features with detailed signalized intersection segments provided valuable insights into the nature of signalized intersection crashes and the safety impact of signalized intersection design.

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“…Prior studies have investigated various types of built environmental correlates of cycling injuries, and have studied the relative levels of risk associated with (1) various route and intersection types (e.g., major streets, local roads, roundabouts, and signalized vs. non-signalized intersections) (Reynolds et al, 2009;Zahabi et al, 2011;Teschke et al, 2012;Hollingworth et al, 2015;Kaplan and Giacomo Prato, 2015;Polders et al, 2015), (2) presence and types of cycling infrastructures (e.g., on-road shared cycling routes, marked bike lanes, separated cycle paths via barrier, etc.) (Reynolds et al, 2009;Teschke et al, 2012;Pedroso et al, 2016;Pucher and Buehler, 2016), (3) land uses (e.g., density of retail establishments, residential/population density, industrial density, and proximity to parks) (Wedagama et al, 2006;Zahabi et al, 2011;Romanow et al, 2012;Kaplan and Giacomo Prato, 2015;Chen and Shen, 2016), (4) environmental factors affecting levels of visibility (e.g., slope, street lighting, and sinuosity) (Zahabi et al, 2011;Dozza and Werneke, 2014;Chen and Shen, 2016), and (5) traffic volume and proportion of cyclists to total traffic (Vandenbulcke et al, 2009;Jacobsen, 2015;Kaplan and Giacomo Prato, 2015;Elvik and Bjørnskau, 2017).…”

Section: Introductionmentioning

confidence: 99%

Built Environmental Correlates of Cycling Accidents Involving Fatalities and Serious Injuries in London, UK

Labetski

Chum

2020

Front. Sustain. Cities

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Introduction: Approximately 2,552 individuals were killed or seriously injured through cycling accidents in the Greater London Area between 2010 and 2015. The purpose of this study is to investigate a wide range of built environmental correlates of cycling accidents resulting in KSI so that we can identify potential areas for targeted interventions. Methods: We performed a cross-sectional analysis to examine the association between serious cycling injuries (2010-15), using road segment as the unit of analysis, and a wide range of built environmental characteristics. Multilevel models were used to account for potential spatial clustering. Results: Serious cycling injuries were independently associated with higher commercial and residential densities, higher distance to speed camera, higher bus, car, and 2-wheeled (motorcycle and moped) traffic, and higher density of alcohol outlets. Greenspace was associated with decreased odds of injuries up to the 3rd quartile, but roads adjacent to the highest levels of green space (4th quartile) had increased odds of injuries. Findings from our study point to the potential of urban planning interventions to reduce serious cycling injuries (e.g., speed cameras, improving safety near alcohol outlets and in parks, and recreational areas, etc.). Further research using quasi-experimental approaches is required to evaluate whether the implementation of interventions leads to injury reductions.

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Identifying Crash Patterns on Roundabouts

Cited by 35 publications

References 17 publications

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

Crash Patterns at Signalized Intersections

Built Environmental Correlates of Cycling Accidents Involving Fatalities and Serious Injuries in London, UK

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