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Accident; Analysis and Prevention|August 9, 2024
A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction modelDan Wu, Jaeyoung Jay Lee, Ye Li, et al.
Accident; Analysis and Prevention|May 9, 2024
Pre-crash scenarios for safety testing of autonomous vehicles: A clustering method for in-depth crash dataHelai Huang, Xiangzhi Huang, Rui Zhou, et al.
Accident; Analysis and Prevention|March 20, 2026
Modified MRBQ for the gig economy: linking risky riding behaviors to self-reported safety incidents among food delivery ridersAmjad Pervez, Duy Quy Nguyen-Phuoc, Nhat Dinh Quang Vo, et al.
Accident; Analysis and Prevention|May 6, 2025
A framework for real-time traffic risk prediction incorporating cost-sensitive learning and dynamic thresholdsDan Wu, Lu Xing, Ye Li, et al.
Accident; Analysis and Prevention|December 9, 2024
Investigating the factors influencing Repeatedly Crash-Involved Drivers (RCIDs): A Random Parameter Hazard-Based Duration approachHala A Eljailany, Jaeyoung Jay Lee, Helai Huang, et al.
Accident; Analysis and Prevention|April 8, 2025
Understanding motorcycle crash involvement: Insights from regular motorcyclists and food delivery riders in VietnamAmjad Pervez, Duy Q Nguyen-Phuoc, Nhat Xuan Mai, et al.
BMC Medical Research Methodology|April 24, 2025
Assessing and adjusting for bias in ecological analysis using multiple sample datasetsQingfeng Li
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