Análisis de causas de accidentes de tránsito en el ecuador utilizando minería de datos

Edwin León-Pluas, Alvaro Pumares-Romero, Javier Guaña-Moya, Pablo Loayza-Valarezo, Darwin Naranjo-Villota, Nelson Salgado-Reyes

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

The present work intends to carry out an analysis of the fundamental causes of traffic accidents in Ecuador, justified by the high rates of this type of events. To do this, we use the KDD knowledge extraction methodology and the C4.5 data mining algorithm that allows us to make decision trees and extract rules related to the causes. For these analyzes, the data of the National Traffic Agency at the national level are taken. 14410 accidents occurred in the country between the years 2016-2018 were analyzed and a total of 9 variables were collected. The algorithm offers an alternative to traditional models, identifying the most important patterns in the data and evaluating the possible associations between the variables collected.

Título traducido de la contribuciónAnalysis of causes of traffic accidents in ecuador using data mining
Idioma originalEspañol (Ecuador)
Páginas (desde-hasta)540-547
Número de páginas8
PublicaciónRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volumen2020
N.ºE26
EstadoPublicada - 19 feb. 2020

Nota bibliográfica

Publisher Copyright:
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Palabras clave

  • ANT
  • Data mining
  • Incidents
  • Traffic accidents

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