SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways

SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways

Intersection-related crashes on Thailand's highways pose a significant risk to road users, particularly motorcyclists. This study develops customized Convolutional Neural Network (CNN) models to classify the severity of intersection crashes and utilizes SHapley Additive exPlanations (SHAP) to i...

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Bibliographic Details
Main Authors: Jirapon Sunkpho, Chamroeun Se, Warit Wipulanusat, Vatanavongs Ratanavaraha
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:IATSS Research
Subjects:
Intersection crashes
Crash severity
Convolutional neural networks
SHAP
Road safety
Thailand highways
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111224000591
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http://www.sciencedirect.com/science/article/pii/S0386111224000591

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