Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data

Crash severity models play a crucial role in evaluating the influencing factors in the severity of traffic crashes. In this study, Extremely Randomised Tree (ERT) is used as a machine learning technique to analyse the severity of crashes. The crash data in the province of Khorasan Razavi, Iran, for...

Descripción completa

Detalles Bibliográficos
Autores principales: Afshar, Farshid, Seyedabrishami, Seyedehsan, Moridpour, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263179/
https://www.ncbi.nlm.nih.gov/pubmed/35798814
http://dx.doi.org/10.1038/s41598-022-15693-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263179/
https://www.ncbi.nlm.nih.gov/pubmed/35798814
http://dx.doi.org/10.1038/s41598-022-15693-7

Ejemplares similares