AI-based prediction of traffic crash severity for improving road safety and transportation efficiency

Abstract Ensuring safe transportation requires a comprehensive understanding of driving behaviors and road safety to mitigate traffic crashes, reduce risks and enhance mobility. This study introduces an AI-driven machine learning (ML) framework for traffic crash severity prediction, utilizing a larg...

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Autors principals:	Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-07-01
Col·lecció:	Scientific Reports
Matèries:	Traffic crash prediction ML models Feature engineering Class imbalance Oversampling Feature selection
Accés en línia:	https://doi.org/10.1038/s41598-025-10970-7
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