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Kayvan Aghabayk

Showing results (1-10 of 18) with videos related to

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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 Aghabayk
Accident; 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 Aghabayk
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 Aghabayk
Journal of Safety Research|December 8, 2022
Willingness and intention to run a red light among motorcyclistsSaeed Esmaeli, Kayvan Aghabayk, Lyndel Bates
Transportation Research. Part A, Policy and Practice|October 28, 2021
Effects of COVID-19 on rail passengers' crowding perceptionsKayvan Aghabayk, Javad Esmailpour, Nirajan Shiwakoti
Accident; 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 Quddus
Accident; 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.
Journal 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.
Accident; Analysis and Prevention|January 23, 2021
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalksKayvan Aghabayk, Javad Esmailpour, Ahmad Jafari, et al.
Journal of Safety Research|May 19, 2022
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, AustraliaMehrdad Nasri, Kayvan Aghabayk, Arsalan Esmaili, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
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 Aghabayk
Accident; 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 Aghabayk
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 Aghabayk
Journal of Safety Research|December 8, 2022
Willingness and intention to run a red light among motorcyclistsSaeed Esmaeli, Kayvan Aghabayk, Lyndel Bates
Transportation Research. Part A, Policy and Practice|October 28, 2021
Effects of COVID-19 on rail passengers' crowding perceptionsKayvan Aghabayk, Javad Esmailpour, Nirajan Shiwakoti
Accident; 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 Quddus
Accident; 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.
Journal 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.
Accident; Analysis and Prevention|January 23, 2021
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalksKayvan Aghabayk, Javad Esmailpour, Ahmad Jafari, et al.
Journal of Safety Research|May 19, 2022
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, AustraliaMehrdad Nasri, Kayvan Aghabayk, Arsalan Esmaili, et al.
Pageof 2