Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá

This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogotá in 2008 by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road acc...

Full description

Autores:
Díaz Acosta, Claudia Andrea
Tipo de recurso:
Fecha de publicación:
2010
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/11397
Acceso en línea:
http://hdl.handle.net/1992/11397
Palabra clave:
Seguridad vial - Investigaciones - Bogotá (Colombia)
Accidentes de tránsito - Investigaciones - Bogotá (Colombia)
Análisis de conglomerados (Estadística) - Investigaciones - Bogotá (Colombia)
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Description
Summary:This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogotá in 2008 by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road accidents: Public Transport-Pedestrians and Public Transport-Motorcycle. These exploratory results show the potentiality of the clustering techniques in order to identify specific combinations of relevant variables that will give hints for a better road safety program.