Using Data-mining Techniques for the prediction of the severity of road crashes in Cartagena, Colombia
Objective: Analyze the road crashes in Cartagena (Colombia) and the factors associated with the collision and severity. The aim is to establish a set of rules for defining countermeasures to improve road safety. Methods: Data mining and machine learning techniques were used in 7894 traffic accidents...
- Autores:
-
Ospina Mateus, Holman
Quintana Jiménez, Leonardo Augusto
López-Valdés, Francisco José
Morales Londoño, Natalie
Salas-Navarro, Katherinne
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6023
- Acceso en línea:
- http://hdl.handle.net/11323/6023
https://repositorio.cuc.edu.co/
- Palabra clave:
- Road crashes
Prediction
Data mining
Severity
- Rights
- openAccess
- License
- CC0 1.0 Universal