Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
In the recent years, forecasting or predictions of port freight have received an increasing attention in ports management and logistics. Two differentiate analytical approaches are used to predict port traffic: causal methods and time-series methods. This work is focussed in to investigate and apply...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/130428 |
| Acceso en línea: | https://hdl.handle.net/2117/130428 |
| Access Level: | acceso abierto |
| Palabra clave: | Harbors Port Forecast Time series Monte Carlo Markov Matlab Resources Optimization Prediction Ports Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes |
| Sumario: | In the recent years, forecasting or predictions of port freight have received an increasing attention in ports management and logistics. Two differentiate analytical approaches are used to predict port traffic: causal methods and time-series methods. This work is focussed in to investigate and apply forecasting techniques, based on time-series for Piraeus Port (Greece). |
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