Risk factors for unsafe events involving a motor vehicle for group riders (cyclists): A naturalistic case-crossover study

Fraser, Michelle; Meuleners, Lynn

doi:10.1016/j.aap.2020.105758

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…Therefore, the lateral clearance is lower. Fraser and Meuleners [ 8 ] concluded that cyclists riding two-abreast significantly reduced the risk of an unsafe event compared to riding single-file. Therefore, although presenting lower lateral clearances, riding two-abreast is considered safer because of the lower overtaking vehicle speed and the increase in the visibility of the cyclists on the road.…”

Section: Discussionmentioning

confidence: 99%

“…There are very few studies that consider groups of cyclists riding on two-lane rural roads, and most of them are focused on group dynamics in cycling racing environments [ 7 ]. Fraser and Meuleners [ 8 ] analysed the risk factors associated with unsafe events involving a motor vehicle and a group of cyclists. They stated that roads with a speed limit higher than 60 km/h increase the risk of an unsafe event significantly.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Influence of Road Geometry on Overtaking Cyclists on Two-Lane Rural Roads

López

Moll

Pérez-Zuriaga

et al. 2022

IJERPH

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Road cycling, both individually and in groups, is common in Spain, where most two-lane rural roads have no cycle lanes. Due to this, and the difference in speed between drivers and cyclists, the overtaking manoeuvre is one of the most dangerous interactions. This study analyses how road geometry influences the overtaking manoeuvre performance. Field data of 1355 overtaking manoeuvres were collected using instrumented bicycles, riding along different rural road segments, and considering individual, medium and large groups of cyclists. The safety variables that characterise the overtaking manoeuvre are overtaking vehicle speed and lateral clearance. These variables have been correlated to geometric characteristics of the road, such as the type of centre line, the horizontal alignment, the speed limit, and the road cross section. Regression models have been fitted considering each cyclist group size and configuration. For individuals and medium groups, wider roads generate higher lateral clearances and lower overtaking speeds, while for large groups only the solid centre line was significant, generating lower clearances and higher speeds. Results suggest that other factors need to be considered, especially for large groups. Results offer a deeper understanding of the phenomenon by providing key points for improving road geometry design, such as widening the shoulders.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the Influence of Road Geometry on Overtaking Cyclists on Two-Lane Rural Roads

López

Moll

Pérez-Zuriaga

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Each individual crosses over to the treated condition once they participate in the training. This case crossover design is especially helpful when individuals are treated at different times (Turner, 2013) and has been used in safety research (Redelmeier et al, 2003;Asbridge et al, 2014;Fraser and Meuleners, 2020). We use panel regression analysis to estimate the effects of the intervention on outcomes of interest.…”

Section: E Ects Of Intervention Of Outcomesmentioning

confidence: 99%

Evaluating the effects of a classroom-based bicycle education intervention on bicycle activity, self-efficacy, personal safety, knowledge, and mode choice

Mcp

Rodrı́guez

2023

Front. Sustain. Cities

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IntroductionThis study provides an evaluation of the impacts of classroom-based adult bicycle education on bicycling activity, confidence and competency self-perceptions while bicycling, knowledge of the bicycling rules of the road, and mode choice in a sample of residents of the San Francisco Bay Area in the US.MethodsChanges were measured with self-administered surveys completed before and six weeks after the course intervention. Self-reported data were validated using objective data collected using the Ride Report app. We used multivariable regression analyses to examine changes in self-reported data over time.ResultsParticipants reported statistically significant increases in confidence while bicycling in both traffic and car-free areas, feelings of safety while bicycling in car-free areas, and knowledge of the rules of the road. While there were significant changes in the proportion of trips by foot, transit and TNC, there was no change in the count of trips made by bicycle.DiscussionAlthough overall changes in bicycling activity did not change, participants with initial low confidence increased bicycling activity and feelings of safety in traffic, compared to participants overall. Classroom-based bicycle education courses can improve bicycling confidence self-perception and increase knowledge of the bicycling rules of the road.

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“…Using wireless sensor networks and RFID technologies, Changhong et al created a framework for an intelligent logistics supply chain management system to increase location accuracy and coverage [5], This framework can be used to establish an identification framework for this study. Fraser et al artificially analyzed the factors that trigger motor vehicle unsafe events, used cross-case studies to compare potential hazard triggers, and experimentally validated the effectiveness of the proposed study [7]. Zhang et al created a four-scale detection structure for the purpose to increase the recognition accuracy of long-range tiny target detection [8].…”

Section: Related Workmentioning

confidence: 99%

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

Hao

2023

SCPE

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The use of traditional manual supervision means to deal with motor vehicle traffic safety violations can result in a large amount of wasted manpower and oversight problems. To assist road managers in better directing traffic order and managing traffic situations, the study proposes an improved target tracking network model. Simple online real-time tracking, deep correlation metrics, and cascading open-source computer vision libraries are combined to create a tracking model for motor vehicle traffic infraction recognition. Pursuant to the experimental findings, the Institute’s upgraded target recognition network model had accuracy and recall rates of 95.7% and 99.7%, respectively, with an accuracy rate of 16.6% higher than the model’s historical counterpart. The recognition accuracy of the constructed motor vehicle traffic violation recognition and tracking model regarding the three basic traffic violations was 98.2%, 98.7%, and 97.9%, respectively; the missed detection rate was 2.0%, 0.31%, and 2.1%, respectively; and the false detection rate was 0.17%, 0.31%, and 0%, respectively. It shows that the improved network model of the study is advanced and the motor vehicle traffic offence model has a good recognition rate and stable performance, which can assist traffic managers in their operations to a certain extent.

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Risk factors for unsafe events involving a motor vehicle for group riders (cyclists): A naturalistic case-crossover study

Cited by 10 publications

References 28 publications

Evaluation of the Influence of Road Geometry on Overtaking Cyclists on Two-Lane Rural Roads

Evaluation of the Influence of Road Geometry on Overtaking Cyclists on Two-Lane Rural Roads

Evaluating the effects of a classroom-based bicycle education intervention on bicycle activity, self-efficacy, personal safety, knowledge, and mode choice

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

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