Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents

Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents

Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent years, there has been a growing global interest in analysing RTAs, specifically concerned with analysing and modelling accident data to better understand and assess the causes and effects of accidents. Th...

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Bibliographic Details
Main Authors: Tebogo Bokaba, Wesley Doorsamy, Babu Sena Paul
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
machine learning
road traffic accidents
data analysis
missing data
dimensionality reduction
Online Access:https://www.mdpi.com/2076-3417/12/2/828

Internet

https://www.mdpi.com/2076-3417/12/2/828

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