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International Journal of Injury Control and Safety Promotion|May 20, 2024
Interpretable machine learning for evaluating risk factors of freeway crash severitySeyed Alireza Samerei, Kayvan AghabaykAccident; Analysis and Prevention|May 3, 2024
Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clusteringSeyed Alireza Samerei, Kayvan AghabaykJournal of Safety Research|December 1, 2021
Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle-bicycle crashesSeyed Alireza Samerei, Kayvan Aghabayk, Nirajan Shiwakoti, et al.International Journal of Injury Control and Safety Promotion|April 6, 2021
Modelling bus-pedestrian crash severity in the state of Victoria, AustraliaSeyed Alireza Samerei, Kayvan Aghabayk, Nirajan Shiwakoti, et al.Journal of Safety Research|March 3, 2021
Data mining approach to model bus crash severity in AustraliaSeyed Alireza Samerei, Kayvan Aghabayk, Amin Mohammadi, et al.Accident; Analysis and Prevention|December 14, 2024
How does distraction affect cyclists' severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approachAli Agheli, Kayvan AghabaykJournal of Safety Research|December 8, 2022
Willingness and intention to run a red light among motorcyclistsSaeed Esmaeli, Kayvan Aghabayk, Lyndel BatesTransportation Research. Part A, Policy and Practice|October 28, 2021
Effects of COVID-19 on rail passengers' crowding perceptionsKayvan Aghabayk, Javad Esmailpour, Nirajan ShiwakotiAccident; Analysis and Prevention|July 4, 2024
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instabilityMatin Sadeghi, Kayvan Aghabayk, Mohammed QuddusAccident; Analysis and Prevention|April 12, 2026
Differences in pedestrian injury severities between contrasting and non-contrasting attire in nighttime crashes: a partially constrained temporal modeling and out-of-sample prediction approachAli Agheli, Kayvan Aghabayk, Nirajan Shiwakoti, et al.Pageof 2