Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis-Reference-Cited by-同舟云学术

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Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis

Published:2023-10 Issue:3 Volume:47 Page:357-371
ISSN:0386-1112
Container-title:IATSS Research
language:en
Short-container-title:IATSS Research

Author:

Kashifi Mohammad Tamim

Publisher

Elsevier BV

Subject

General Engineering,Urban Studies,Safety Research,Transportation

Reference77 articles.

1. A data mining approach to investigate patterns of powered two-wheeler crashes in Spain;Montella;Accid. Anal. Prev.,2020

2. Powered Two- and Three-Wheeler Safety: A Road Safety Manual for Decision-Makers and Practitioners;WHO,2017

3. Fatal and serious road crashes involving motorcyclists;Johnson,2008

4. Strategic Action Plan on Road Safety;European Commission,2018

5. Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery;Montella;Accid. Anal. Prev.,2012

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