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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Detalles Bibliográficos
Autor: Páez Álvarez, Roberto
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
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spelling Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)Páez Álvarez, RobertoHarborsPortForecastTime seriesMonte CarloMarkovMatlabResourcesOptimizationPredictionPortsÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costesIn 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).Universitat Politècnica de CatalunyaGrifoll Colls, Manel20182018-09-2820192019-03-14master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/130428reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1304282026-05-27T15:37:01Z
dc.title.none.fl_str_mv Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
title Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
spellingShingle Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
Páez Álvarez, Roberto
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
title_short Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
title_full Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
title_fullStr Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
title_full_unstemmed Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
title_sort Traffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
dc.creator.none.fl_str_mv Páez Álvarez, Roberto
author Páez Álvarez, Roberto
author_facet Páez Álvarez, Roberto
author_role author
dc.contributor.none.fl_str_mv Grifoll Colls, Manel
dc.subject.none.fl_str_mv 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
topic 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
description 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).
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-09-28
2019
2019-03-14
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/130428
url https://hdl.handle.net/2117/130428
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404894012637184
score 15,300724

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