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...
- 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
| 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. |
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