Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combinin...
Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
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Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
The research and development of autonomous vehicle (AV) technology have been gaining ground globally. However, a few studies have performed an in-depth exploration of the contributing factors of crashes involving AVs. This study aims to predict the severity of crashes involving AVs and analyze the effects of the different factors on crash severity....
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Full title
Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data
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TN_cdi_doaj_primary_oai_doaj_org_article_7dbd0452fe994f57bf4e71a0a05f8f1f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7dbd0452fe994f57bf4e71a0a05f8f1f
Other Identifiers
ISSN
0197-6729
E-ISSN
2042-3195
DOI
10.1155/2020/8881545
