Purpose: Over 8,000 American adolescents ages 14-15 years require medical attention owing to pedestrian injury annually. Cognitive factors contributing to pedestrian safety include reaction time, impulsivity, risk taking, attention, and decision making. These characteristics are also influenced by sleep restriction. Experts recommend that adolescents obtain 8.5 hours of uninterrupted sleep each night, but most American adolescents do not. Inadequate sleep may place adolescents at risk for pedestrian injury.
Methods: Using a within-subjects design, 55 14- and 15-year-olds engaged in a virtual reality pedestrian environment under two conditions, scheduled a week apart: sleep-restricted (4 hours' sleep the previous night) and adequate sleep (8.5 hours). Sleep was assessed using actigraphy and pedestrian behavior via four outcome measures: time to initiate crossing, time before contact with vehicle while crossing, virtual hits or close calls and attention to traffic (looks left and right).
Results: While acutely sleep restricted, adolescents took more time to initiate pedestrian crossings, crossed with less time before contact with vehicles, experienced more virtual hits or close calls, and looked left and right more often compared with when adequately rested. Results were maintained after controlling for age, gender, ethnicity, and average total sleep duration before each condition.
Conclusions: Adolescent pedestrian behavior in the simulated virtual environment was markedly different, and generally more risky, when acutely sleep restricted compared with adequately rested. Inadequate sleep may influence cognitive functioning to the extent that pedestrian safety is jeopardized among adolescents capable of crossing streets safely when rested. Policy decisions might be educated by these results.
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http://dx.doi.org/10.1016/j.jadohealth.2013.07.008 | DOI Listing |
Sensors (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.
View Article and Find Full Text PDFHeliyon
January 2025
Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai, 200063, China.
Testing autonomous vehicles (AVs) in hazardous scenarios is a crucial technical approach to ensure their safety. A key aspect of this process is the generation of hazard scenarios. In general, such scenarios are generated through cluster analysis of traffic accident data.
View Article and Find Full Text PDFNatl J Maxillofac Surg
November 2024
Department of Forensic Medicine and Toxicology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Introduction: In Uttar Pradesh, India, there are many fatal head injuries as a result of road traffic accidents (RTAs). Studying the pattern and distribution of intracranial hemorrhages, a frequent complication of severe head trauma might provide vital information on the efficacy of traffic safety regulations. To improve road safety tactics and lower fatal head injuries in Uttar Pradesh, this study intends to assess the effect of road safety measures on the frequency and distribution of intracranial hemorrhages in fatal head injury patients.
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