Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model

Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model

Road accidents, particularly in urban areas, pose significant challenges due to their complexity and severe consequences. Rapid emergency response is crucial to mitigating their impact, especially for cases requiring urgent medical intervention. This study aims to enhance emergency response strategi...

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Bibliographic Details
Main Authors: Chaimaa Chaoura, Hajar Lazar, Zahi Jarir
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Road accidents
traffic safety
severity prediction
feature selection
deep learning
interpretability
Online Access:https://ieeexplore.ieee.org/document/11096551/
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https://ieeexplore.ieee.org/document/11096551/

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