Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists

The objective of this study is to analysis of accident of motorcyclists on Bogotá roads in Colombia. For detection of conditions related to crashes and their severity, the proposed model develops the strategies to enhance road safety. In this context, data mining and machine learning techniques are...

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Autores:
Ospina-Mateus, Holman
Quintana Jiménez, Leonardo Augusto
Lopez-Valdes, Francisco J.
Berrio Garcia, Shyrle
Barrero, Lope H.
Sankar Sana, Shib
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12240
Acceso en línea:
https://hdl.handle.net/20.500.12585/12240
Palabra clave:
Crash Injuries;
Crash;
Random Parameters
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/