Injury Severity Prediction From Two-Vehicle Crash Mechanisms With Machine Learning and Ensemble Models

Injury Severity Prediction From Two-Vehicle Crash Mechanisms With Machine Learning and Ensemble Models

Machine learning algorithms aim to improve the power of predictors over conventional regression models. This study aims to tap the predictive potential of crash mechanism-related variables using ensemble machine learning models. The results demonstrate selected models can predict severity at a high...

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Bibliographic Details
Main Authors: Ang Ji, David Levinson
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Injury severity
machine learning algorithms
vehicle crashes
ensemble technique
crash mechanisms
Online Access:https://ieeexplore.ieee.org/document/9241829/

Internet

https://ieeexplore.ieee.org/document/9241829/

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