A data-driven on-site injury severity assessment model for car-to-electric-bicycle collisions based on positional relationship and random forest

A data-driven on-site injury severity assessment model for car-to-electric-bicycle collisions based on positional relationship and random forest

Vulnerable road users (VRUs) are usually more susceptible to fatal injuries. Accurate and rapid assessment of VRU injury severity at the accident scene can provide timely support for decision-making in emergency response. However, evaluating VRU injury severity at the accident scene usually requires...

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Bibliographic Details
Main Authors: Ye Yu, Zhiyuan Liu
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Electronic Research Archive
Subjects:
traffic safety
data-driven
assessment
random forest
vulnerable road user
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023173?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/era.2023173?viewType=HTML

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