Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning

作者：

Highlights：

• A prediction model that combines two approaches for the purpose of forecasting traffic accidents.

• Determining zones prone to road accidents using hybrid model.

• The use of expectation–maximization and Support Vector Classifier in road safety predictions.

摘要

•A prediction model that combines two approaches for the purpose of forecasting traffic accidents.•Determining zones prone to road accidents using hybrid model.•The use of expectation–maximization and Support Vector Classifier in road safety predictions.

论文关键词：Gaussian Mixture Model,Support Vector Machine,Support Vector Classifier,Hybrid model,Traffic accident forecasting,Accident severity

论文评审过程：Received 7 May 2020, Revised 29 July 2020, Accepted 5 August 2020, Available online 14 August 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113855