An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation

Road traffic crashes pose significant economic and public health burdens, necessitating an in-depth understanding of crash causation and its links to underlying factors. This study introduces a machine learning-based hurdle model framework tailored for analyzing zero-inflated crash frequency data, a...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Moataz Bellah Ben Khedher, Dukgeun Yun
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Subjects:	crash frequency machine learning CatBoost SHAP accident analysis road safety
Online Access:	https://www.mdpi.com/2076-3417/14/23/10790