Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models

Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models

The accurate prediction of road traffic crash (RTC) severity contributes to generating crucial information, which can be used to adopt appropriate measures to reduce the aftermath of crashes. This study aims to develop a hybrid system using principal component analysis (PCA) with multilayer perceptr...

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Bibliographic Details
Main Author: Khaled Assi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:International Journal of Environmental Research and Public Health
Subjects:
traffic crash severity
vehicle crashes
emergency management
principal component analysis (PCA)
neural networks (NN)
support vector machine (SVM)
Online Access:https://www.mdpi.com/1660-4601/17/20/7598

Internet

https://www.mdpi.com/1660-4601/17/20/7598

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