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:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9195
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9195
- Palabra clave:
- Data mining
Prediction
Road crashes
Severity
Decision trees
Forecasting
Highway accidents
Motor transportation
Motorcycles
Roads and streets
Support vector machines
Area under the ROC curve
Classification algorithm
Knowledge analysis
Machine learning techniques
Multi layer perceptron
Road crash
Severity
Support vector machine (SVMs)
Data mining
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/