Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol

Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol

Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for each cluster were obtained using fuzzy c-means, whic...

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Bibliographic Details
Main Authors: Khaled Assi, Syed Masiur Rahman, Umer Mansoor, Nedal Ratrout
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
crash injury severity
emergency management
feedforward neural networks (FNN)
fuzzy c-means clustering (FCM)
machine learning
support vector machines (SVM)
Online Access:https://www.mdpi.com/1660-4601/17/15/5497

Internet

https://www.mdpi.com/1660-4601/17/15/5497

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