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Accident; Analysis and Prevention|August 21, 2025
How do the drivers react to different C-V2X-based communication conditions in dilemma zones? A driving simulator studyShi Ye, Tiantian Chen, Oscar Oviedo-Trespalacios, et al.Accident; Analysis and Prevention|August 21, 2025
A personalized driving risk assessment and rolling prediction method by integrating multiple indicatorsYuran Li, Guizhen Chen, Yikai Luo, et al.Accident; Analysis and Prevention|March 16, 2023
Impact of duration of monitoring before takeover request on takeover time with insights into eye tracking dataChao Huang, Bo Yang, Kimihiko NakanoAccident; Analysis and Prevention|November 8, 2022
Maximum likelihood method of estimating the conflict-crash relationshipAndrew P TarkoAccident; Analysis and Prevention|June 20, 2020
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing dataHongliang Ding, N N Sze, Haojie Li, et al.Accident; Analysis and Prevention|June 20, 2020
Examining imbalanced classification algorithms in predicting real-time traffic crash riskYichuan Peng, Chongyi Li, Ke Wang, et al.Accident; Analysis and Prevention|June 21, 2020
Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, KoreaSugie Lee, Junho Yoon, Ayoung WooAccident; Analysis and Prevention|June 21, 2020
A new spatial count data model with Bayesian additive regression trees for accident hot spot identificationRico Krueger, Prateek Bansal, Prasad BuddhavarapuAccident; Analysis and Prevention|June 22, 2020
Co-driving: Passenger actions and distractionsSamuel G Charlton, Nicola J StarkeyAccident; Analysis and Prevention|August 30, 2021
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approachPayam Nasernejad, Tarek Sayed, Rushdi AlsalehPageof 805