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Traffic Injury Prevention|April 5, 2024
Validated numerical unrestrained occupant-seat crash scenarios for high-speed trains integrating experimental, computational, and inverse methodsGongxun Deng, Tuo Xu, Yong Peng, et al.Traffic Injury Prevention|April 4, 2024
Risk factors associated with driving after marijuana use among West Virginia college students during the COVID-19 pandemicYuni Tang, Christiaan G Abildso, Christa L Lilly, et al.Traffic Injury Prevention|March 13, 2024
Summary of influences that led to introduction of frontal airbags on US passenger vehiclesKennerly H DiggesTraffic Injury Prevention|March 13, 2024
The influence of seated postures and anthropometry on lap belt fit in vehicle occupants: A 3D computed tomography studyYoshihiko Tanaka, Houtatsu Shu, Yuqing Zhao, et al.Traffic Injury Prevention|March 11, 2024
Are front crash prevention systems less effective at preventing rear-end crashes where trucks and motorcycles are struck?Jessica B Cicchino, David G KiddTraffic Injury Prevention|October 2, 2024
An integrated framework for driving risk evaluation that combines lane-changing detection and an attention-based prediction modelZhongxiang Feng, Xinyi Wei, Yu Bi, et al.Traffic Injury Prevention|September 26, 2024
Mobile phone conversation during nighttime driving: Effects on driving behaviorEleni Andrikopoulou, Ioanna SpyropoulouTraffic Injury Prevention|September 26, 2024
Age-related driver injury occurrence from crashes at curve-grade combined segmentsHellen Shita, Norris Novat, Francisca Kasubi, et al.Traffic Injury Prevention|September 26, 2024
An evaluation of front seat distance from rear facing child restraint systems in prevention of injury in frontal crash testsMatthew R Maltese, Maya DiFrischia, Jonathan JudgeTraffic Injury Prevention|September 26, 2024
Evaluating the effectiveness of safety countermeasures at highway-railway grade crossing based on a machine learning frameworkMohammadali Zayandehroodi, Barat Mojaradi, Morteza BagheriPageof 314