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Accident; Analysis and Prevention|April 16, 2026
Personalizing In-Vehicle warnings: A causal machine learning approach to optimizing workload and risk perceptionZhipeng Peng, Yihe Huo, Chenzhu Wang, et al.Accident; Analysis and Prevention|April 21, 2026
From ambiguity to precision: Digitized traffic rules for autonomous drivingRuolin Shi, Xuesong Wang, Meixin Zhu, et al.Accident; Analysis and Prevention|May 22, 2026
Research on formation vehicles cooperative strategy based on reinforcement learning and GANs at uncontrolled intersectionsWang Tong, Yuan Chaochun, Cai Yingfeng, et al.Accident; Analysis and Prevention|September 2, 2008
Female involvement in fatal crashes: increasingly riskier or increasingly exposed?Eduardo Romano, Tara Kelley-Baker, Robert B VoasAccident; Analysis and Prevention|November 4, 2006
Empirical Bayes before-after safety studies: lessons learned from two decades of experience and future directionsBhagwant Persaud, Craig LyonAccident; Analysis and Prevention|October 6, 2012
Motorcycle accidents, rider behaviour, and psychological modelsTürker Özkan, Timo Lajunen, Burak Doğruyol, et al.Accident; Analysis and Prevention|June 6, 2012
Hybrid III anthropomorphic test device (ATD) response to head impacts and potential implications for athletic headgear testingAdam Bartsch, Edward Benzel, Vincent Miele, et al.Accident; Analysis and Prevention|May 13, 2021
Operational factor analysis of the aggressive taxi speeders using random parameters Bayesian LASSO modeling approachYue Zhou, Xinguo Jiang, Chuanyun Fu, et al.Accident; Analysis and Prevention|May 22, 2026
A Bayesian spatial bivariate multinomial logit model for joint analysis of crash type and injury severity at signalized intersectionsJing Ma, Xiaobo Ma, Zengqiang Su, et al.Accident; Analysis and Prevention|May 23, 2026
A full Bayesian random parameters Negative Binomial-Lindley model for fatal pedestrian crash frequency on rural highwaysPriyanshu Aman, Geetam Tiwari, Kalaga Ramachandra RaoPageof 805