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

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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Bibliographic Details
Main Authors: Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Traffic crash prediction
ML models
Feature engineering
Class imbalance
Oversampling
Feature selection
Online Access:https://doi.org/10.1038/s41598-025-10970-7
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https://doi.org/10.1038/s41598-025-10970-7

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