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Accident; Analysis and Prevention|November 14, 2021
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factorsBoniphace Kutela, Subasish Das, Bahar Dadashova
Accident; Analysis and Prevention|March 2, 2016
Methodological development for selection of significant predictors explaining fatal road accidentsBahar Dadashova, Blanca Arenas-Ramírez, José Mira-McWilliams, et al.
International Journal of Environmental Research and Public Health|February 15, 2022
Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, TexasHaneen Khreis, Jeremy Johnson, Katherine Jack, et al.
Accident; Analysis and Prevention|April 13, 2021
Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerksXiao Li, Seyedeh Maryam Mousavi, Bahar Dadashova, et al.
Accident; Analysis and Prevention|February 11, 2021
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future researchSoheil Sohrabi, Ali Khodadadi, Seyedeh Maryam Mousavi, et al.
Traffic Injury Prevention|March 12, 2020
Analysis of crash injury severity on two trans-European transport network corridors in Spain using discrete-choice models and random forestsBahar Dadashova, Blanca Arenas-Ramires, Jose Mira-McWillaims, et al.
Journal of Safety Research|August 28, 2022
Assessment of inequity in bicyclist crashes using bivariate Bayesian copulasBahar Dadashova, Eun Sug Park, Seyedeh Maryam Mousavi, et al.
Sensors (Basel, Switzerland)|July 15, 2026
Spatially-Aware Reliability Modeling for BEV LiDAR 3D Vehicle DetectionNanzhou Hu, Zhe Zhang, Dayong Wu, et al.
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