A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities

Traffic accidents are of worldwide concern, as they are one of the leading causes of death globally. One policy designed to cope with them is the design and deployment of road safety systems. These aim to predict crashes based on historical records, provided by new Internet of Things (IoT) technolog...

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Detalles Bibliográficos
Autores principales: Angarita-Zapata, Juan S., Maestre-Gongora, Gina, Calderín, Jenny Fajardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708527/
https://www.ncbi.nlm.nih.gov/pubmed/34960494
http://dx.doi.org/10.3390/s21248401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708527/
https://www.ncbi.nlm.nih.gov/pubmed/34960494
http://dx.doi.org/10.3390/s21248401

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