Older Pedestrian Traffic Crashes Severity Analysis Based on an Emerging Machine Learning XGBoost

Older Pedestrian Traffic Crashes Severity Analysis Based on an Emerging Machine Learning XGBoost

Older pedestrians are vulnerable on the streets and at significant risk of injury or death when involved in crashes. Pedestrians’ safety is critical for roadway agencies to consider and improve, especially older pedestrians aged greater than 65 years old. To better protect the older pedestrian group...

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Bibliographic Details
Main Authors: Manze Guo, Zhenzhou Yuan, Bruce Janson, Yongxin Peng, Yang Yang, Wencheng Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
older pedestrian traffic safety
pedestrian traffic crashes
machine learning
crashes severity
SHAP
XGBoost
Online Access:https://www.mdpi.com/2071-1050/13/2/926

Internet

https://www.mdpi.com/2071-1050/13/2/926

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