Investigating determinants of injury severity in motorcycle-vehicle crashes using interpretable machine learning models

The findings could help put forward targeted countermeasures to better manage motorcyclists, drivers, and road facilities for improving the traffic safety of motorcyclists.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-11-10
DOI
https://doi.org/10.1080/15389588.2025.2579198
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating determinants of injury severity in motorcycle-vehicle crashes using interpretable machine learning models

Sen Wei, Yangfan Zhang, Guopeng Zhang, Lei Li et al.
Traffic Injury Prevention
Traffic and Road Safety
article

Investigating determinants of injury severity in motorcycle-vehicle crashes using interpretable machine learning models

Sen Wei, Yangfan Zhang, Guopeng Zhang, Lei Li, Nianyi Hu
article en

Abstract

The findings could help put forward targeted countermeasures to better manage motorcyclists, drivers, and road facilities for improving the traffic safety of motorcyclists.

Traffic Injury Prevention
Zhejiang Normal University (CN)
Openalex Percentile: Top 59%
Traffic and Road Safety
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