Background: Participation in high school cross-country and track has increased over the last few decades. At the same time, the rate of pedestrian-involved motor vehicle crashes (MVCs) has also increased. In the context of organized sport, pedestrian safety among runners is often not highlighted, despite the risk of catastrophic injury.
Purpose: To describe incidents of pedestrian-involved MVCs involving student athletes captured by the National Center for Catastrophic Sport Injury Research (NCCSIR) at the University of North Carolina at Chapel Hill.
Study Design: Case series.
Level Of Evidence: Level 5.
Methods: This study utilized surveillance data from the NCCSIR from 2011 to 2020. It presents descriptive statistics, including frequencies and percentages, detailed summaries, and a Haddon Matrix.
Results: There were 8 incidents involving 11 student athletes, resulting in 9 fatalities. Of these, 5 cases occurred in the afternoon or early evening, 4 occurred in the Fall, and 6 occurred in a rural area. Haddon Matrix analyses of case descriptions indicate schools should implement a runner safety program for all new runners and ensure that runner safety measures are included in emergency action plans.
Conclusion: Runner-related MVCs are relatively rare, but tragic, incidents. Pedestrian safety measures should be incorporated into school-sponsored practices and training runs.
Clinical Relevance: Pedestrian safety should be incorporated into runner safety and injury prevention efforts.
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http://dx.doi.org/10.1177/19417381221123510 | DOI Listing |
Sci Rep
January 2025
Acoustics Research Centre, University of Salford, The Crescent, Manchester, M5 4WT, UK.
It is well understood that a significant shift away from fossil fuel based transportation is necessary to limit the impacts of the climate crisis. Electric micromobility modes, such as electric scooters and electric bikes, have the potential to offer a lower-emission alternative to journeys made with internal combustion engine vehicles, and such modes of transport are becoming increasingly commonplace on our streets. Although offering advantages such as reduced air pollution and greater personal mobility, the widespread approval and uptake of electric micromobility is not without its challenges.
View Article and Find Full Text PDFFront Neurorobot
January 2025
School of Business, Lingnan University, Hong Kong, China.
With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to achieve satisfactory accuracy. Although infrared images perform well under low-light conditions, they lack color and detail, making them susceptible to background noise interference, particularly in complex outdoor environments where the similarity between heat sources and pedestrian features further reduces detection accuracy. To address these issues, this paper proposes the FusionU10 model, which combines information from both infrared and visible light images.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Netcom Engineering S.p.A., Via Nuova Poggioreale, Centro Polifunzionale, Tower 7, 5th Floor, 80143 Naples, Italy.
This paper explores the development and testing of two Internet of Things (IoT) applications designed to leverage Vehicle-to-Infrastructure (V2I) communication for managing intelligent intersections. The first scenario focuses on enabling the rapid and safe passage of emergency vehicles through intersections by notifying approaching drivers via a mobile application. The second scenario enhances pedestrian safety by alerting drivers, through the same application, about the presence of pedestrians detected at crosswalks by a traffic sensor equipped with neural network capabilities.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
New York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.
Roadway mortality increased during COVID-19, reversing a multi-decade downward trend. The Fatality Analysis Reporting System (FARS) was used to examine contributing factors pre-COVID-19 and in the COVID-19 era using the five pillars of the Safe System framework: (1) road users; (2) vehicles; (3) roadways; (4) speed; and (5) post-crash care. Two study time periods were matched to control for seasonality differences pre-COVID-19 ( = 1725, 1 April 2018-31 December 2019) and in the COVID-19 era ( = 2010, 1 April 2020-31 December 2021) with a three-month buffer period between the two time frames excluded.
View Article and Find Full Text PDFJ Imaging
January 2025
Science and Research Department, Moscow Technical University of Communications and Informatics, 111024 Moscow, Russia.
Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. It poses a serious danger in various fields of activity.
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