As use of handheld multimedia devices has exploded globally, safety experts have begun to consider the impact of distraction while talking, text-messaging, or listening to music on traffic safety. This study was designed to test how talking on the phone, texting, and listening to music may influence pedestrian safety. 138 college students crossed an interactive, semi-immersive virtual pedestrian street. They were randomly assigned to one of four groups: crossing while talking on the phone, crossing while texting, crossing while listening to a personal music device, or crossing while undistracted. Participants distracted by music or texting were more likely to be hit by a vehicle in the virtual pedestrian environment than were undistracted participants. Participants in all three distracted groups were more likely to look away from the street environment (and look toward other places, such as their telephone or music device) than were undistracted participants. Findings were maintained after controlling for demographics, walking frequency, and media use frequency. Distraction from multimedia devices has a small but meaningful impact on college students' pedestrian safety. Future research should consider the cognitive demands of pedestrian safety, and how those processes may be impacted by distraction. Policymakers might consider ways to protect distracted pedestrians from harm and to reduce the number of individuals crossing streets while distracted.
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http://dx.doi.org/10.1016/j.aap.2011.07.011 | DOI Listing |
Data Brief
February 2025
North Carolina Agricultural and Technical State University, 1601 E Market St, Greensboro, NC 27411, United States.
Contemporary research in 3D object detection for autonomous driving primarily focuses on identifying standard entities like vehicles and pedestrians. However, the need for large, precisely labelled datasets limits the detection of specialized and less common objects, such as Emergency Medical Service (EMS) and law enforcement vehicles. To address this, we leveraged the Car Learning to Act (CARLA) simulator to generate and fairly distribute rare EMS vehicles, automatically labelling these objects in 3D point cloud data.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Department of Mechanical Engineering, Hanyang University ERICA, 55, Hanyangdaehak-ro, Sangnok-gu, Ansan-si 15588, Gyeonggi-do, Republic of Korea.
This study focuses on an equivalent model of Polyvinyl Butyral (PVB) laminated glass to simulate the Head Injury Criterion (HIC) when a pedestrian collides with a TRAM. To simulate the collision behavior that occurs when a pedestrian's head collides with PVB laminated glass, a comparison was made between the results of the widely used PLC model for PVB laminated glass modeling and an actual dynamic head impact test. The material properties of the tempered glass and PVB film used in the PLC and equivalent models were obtained via four-point bending tests and tensile tests, respectively.
View Article and Find Full Text PDFFront Rehabil Sci
December 2024
School of Rehabilitation Sciences, Université Laval, Quebec, QC, Canada.
Introduction: Heritage sites often pose significant accessibility challenges for individuals with visual disabilities due to their preserved architectural features and strict regulations against modifications. In shared streets, designed to encourage pedestrian use and reduce vehicle dominance, these challenges are exacerbated by the lack of tactile and directional cues for visually impaired users. This study, set in the context of Canadian heritage sites, explores how shared streets can be adapted to be more inclusive while respecting the integrity of historical environments.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Surgery, NYC Health and Hospitals, Elmhurst Hospital Center, New York, NY 11373, USA.
: Despite improvements in technology and safety measures, injuries from collisions involving motor vehicles (CIMVs) continue to be prevalent. Therefore, our goal is to investigate the different patterns of head injuries associated with CIMVs. : This is a single-center, retrospective study of patients with motor vehicle-related trauma between 1 January 2016-31 December 2023.
View Article and Find Full Text PDFInj Prev
January 2025
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Introduction: Previous research usually focused on high-frequency crash clusters (surrounded by high-frequency crashes), which overlooked outlier locations where high-frequency crashes were surrounded by low-frequency crashes. Neglecting spatiotemporal outliers might overlook critical factors for safety improvements.
Methods: Using pedestrian-vehicle crash data in North Carolina from 2007 to 2019, this study proposes an enhanced spatiotemporal analysis framework (combined with Approximate Nearest Neighbour and the Global Moran I index) to distinguish spatiotemporal crash outliers from aggregated/dispersed patterns.
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