Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)
The prediction of freight congestion (cargo peaks) is an important tool for decision making and it is this paper’s main object of study. Forecasting freight flows can be a useful tool for the whole logistics chain. In this work, a complete methodology is presented in order to obtain the best model t...
- Autores:
-
Ruiz Aguilar, Juan Jesús
Turias, Ignacio J.
Moscoso López, José A.
Jiménez Come, María J.
Cerbán, María M.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60588
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60588
http://bdigital.unal.edu.co/58920/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
freight forecasting
classification
congestion
artificial neural networks
multiple comparison tests
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional