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Traffic Injury Prevention|February 12, 2024
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash dataJieling Jin, Helai Huang, Rui Zhou, et al.Traffic Injury Prevention|January 22, 2024
Driver behavior and mental workload for takeover safety in automated driving: ACT-R prediction modeling approachHyungseok Oh, Yongdeok Yun, Rohae MyungTraffic Injury Prevention|April 1, 2024
Risk field modeling of urban tunnel based on APFShen Linghong, Jianxiao Ma, Fang SongTraffic Injury Prevention|April 5, 2024
Energy field-based lane changing behavior interaction model and risk evaluation in the weaving section of expresswayYi Li, Fengchun Yang, Zhaoze Xuan, et al.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.Pageof 308