A literature review of machine learning algorithms for crash injury severity prediction.

Journal: Journal of safety research

Published Date: Dec 23, 2021

Abstract

INTRODUCTION: Road traffic crashes represent a major public health concern, so it is of significant importance to understand the factors associated with the increase of injury severity of its interveners when involved in a road crash. Determining such factors is essential to help decision making in road safety management, improving road safety, and reducing the severity of future crashes.

Authors

Kenny Santos

IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal. Electronic address: kenny.santos@tecnico.ulisboa.pt.
João P Dias

IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal. Electronic address: joao.pereira.dias@tecnico.ulisboa.pt.
Conceição Amado

Department of Mathematics and CEMAT, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.

Keywords

Accidents, Traffic Algorithms Bayes Theorem Humans Machine Learning Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (35249605)

A literature review of machine learning algorithms for crash injury severity prediction.

Abstract

Authors

Keywords

External Resources

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