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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Veröffentlicht in:	Applied sciences 2024-11, Vol.14 (23), p.10790
Hauptverfasser:	Ben Khedher, Moataz Bellah, Yun, Dukgeun
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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