Simulation-based virtual cycle for multi-level airport analysis

Autores
Mota, Miguel Mujica; Bernardini, Javier Alejandro; Scala, Paolo; Ramírez Díaz, Gabriel Alberto
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aeronautical industry is expanding after a period of economic turmoil. For this reason, a growing number of airports are facing capacity problems that can sometimes only be resolved by expanding infrastructure, with the inherent risks that such decisions create. In order to deal with uncertainty at different levels, it is necessary to have relevant tools during an expansion project or during the planning phases of new infrastructure. This article presents a methodology that combines simulation approaches with different description levels that complement each other when applied to the development of a new airport. The methodology is illustrated with an example that uses two models for an expansion project of an airport in The Netherlands. One model focuses on the operation of the airport from a high-level position, while the second focuses on other technical aspects of the operation that challenge the feasibility of the proposed configuration of the apron. The results show that by applying the methodology, analytical power is enhanced and the risk of making the wrong decisions is reduced. We identified the limitations that the future facility will have and the impact of the physical characteristics of the traffic that will operate in the airport. The methodology can be used for tackling different problems and studying particular performance indicators to help decision-makers take more informed decisions.
Fil: Mota, Miguel Mujica. Amsterdam University of Applied Sciences; Países Bajos
Fil: Bernardini, Javier Alejandro. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; Argentina
Fil: Scala, Paolo. Amsterdam University of Applied Sciences; Países Bajos
Fil: Ramírez Díaz, Gabriel Alberto. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Materia
APRON
CONFIGURATION
EXPANSION
MODELLING
PERFORMANCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100863

id CONICETDig_0f6ad00560a1da1c2148df024005e321
oai_identifier_str oai:ri.conicet.gov.ar:11336/100863
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Simulation-based virtual cycle for multi-level airport analysisMota, Miguel MujicaBernardini, Javier AlejandroScala, PaoloRamírez Díaz, Gabriel AlbertoAPRONCONFIGURATIONEXPANSIONMODELLINGPERFORMANCEhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The aeronautical industry is expanding after a period of economic turmoil. For this reason, a growing number of airports are facing capacity problems that can sometimes only be resolved by expanding infrastructure, with the inherent risks that such decisions create. In order to deal with uncertainty at different levels, it is necessary to have relevant tools during an expansion project or during the planning phases of new infrastructure. This article presents a methodology that combines simulation approaches with different description levels that complement each other when applied to the development of a new airport. The methodology is illustrated with an example that uses two models for an expansion project of an airport in The Netherlands. One model focuses on the operation of the airport from a high-level position, while the second focuses on other technical aspects of the operation that challenge the feasibility of the proposed configuration of the apron. The results show that by applying the methodology, analytical power is enhanced and the risk of making the wrong decisions is reduced. We identified the limitations that the future facility will have and the impact of the physical characteristics of the traffic that will operate in the airport. The methodology can be used for tackling different problems and studying particular performance indicators to help decision-makers take more informed decisions.Fil: Mota, Miguel Mujica. Amsterdam University of Applied Sciences; Países BajosFil: Bernardini, Javier Alejandro. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; ArgentinaFil: Scala, Paolo. Amsterdam University of Applied Sciences; Países BajosFil: Ramírez Díaz, Gabriel Alberto. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaMultidisciplinary Digital Publishing Institute2018-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100863Mota, Miguel Mujica; Bernardini, Javier Alejandro; Scala, Paolo; Ramírez Díaz, Gabriel Alberto; Simulation-based virtual cycle for multi-level airport analysis; Multidisciplinary Digital Publishing Institute; Aerospace; 5; 2; 4-2018; 1-182226-4310CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2226-4310/5/2/44info:eu-repo/semantics/altIdentifier/doi/10.3390/aerospace5020044info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:35Zoai:ri.conicet.gov.ar:11336/100863instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:33:35.317CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simulation-based virtual cycle for multi-level airport analysis
title Simulation-based virtual cycle for multi-level airport analysis
spellingShingle Simulation-based virtual cycle for multi-level airport analysis
Mota, Miguel Mujica
APRON
CONFIGURATION
EXPANSION
MODELLING
PERFORMANCE
title_short Simulation-based virtual cycle for multi-level airport analysis
title_full Simulation-based virtual cycle for multi-level airport analysis
title_fullStr Simulation-based virtual cycle for multi-level airport analysis
title_full_unstemmed Simulation-based virtual cycle for multi-level airport analysis
title_sort Simulation-based virtual cycle for multi-level airport analysis
dc.creator.none.fl_str_mv Mota, Miguel Mujica
Bernardini, Javier Alejandro
Scala, Paolo
Ramírez Díaz, Gabriel Alberto
author Mota, Miguel Mujica
author_facet Mota, Miguel Mujica
Bernardini, Javier Alejandro
Scala, Paolo
Ramírez Díaz, Gabriel Alberto
author_role author
author2 Bernardini, Javier Alejandro
Scala, Paolo
Ramírez Díaz, Gabriel Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv APRON
CONFIGURATION
EXPANSION
MODELLING
PERFORMANCE
topic APRON
CONFIGURATION
EXPANSION
MODELLING
PERFORMANCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The aeronautical industry is expanding after a period of economic turmoil. For this reason, a growing number of airports are facing capacity problems that can sometimes only be resolved by expanding infrastructure, with the inherent risks that such decisions create. In order to deal with uncertainty at different levels, it is necessary to have relevant tools during an expansion project or during the planning phases of new infrastructure. This article presents a methodology that combines simulation approaches with different description levels that complement each other when applied to the development of a new airport. The methodology is illustrated with an example that uses two models for an expansion project of an airport in The Netherlands. One model focuses on the operation of the airport from a high-level position, while the second focuses on other technical aspects of the operation that challenge the feasibility of the proposed configuration of the apron. The results show that by applying the methodology, analytical power is enhanced and the risk of making the wrong decisions is reduced. We identified the limitations that the future facility will have and the impact of the physical characteristics of the traffic that will operate in the airport. The methodology can be used for tackling different problems and studying particular performance indicators to help decision-makers take more informed decisions.
Fil: Mota, Miguel Mujica. Amsterdam University of Applied Sciences; Países Bajos
Fil: Bernardini, Javier Alejandro. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; Argentina
Fil: Scala, Paolo. Amsterdam University of Applied Sciences; Países Bajos
Fil: Ramírez Díaz, Gabriel Alberto. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Aeronáutica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
description The aeronautical industry is expanding after a period of economic turmoil. For this reason, a growing number of airports are facing capacity problems that can sometimes only be resolved by expanding infrastructure, with the inherent risks that such decisions create. In order to deal with uncertainty at different levels, it is necessary to have relevant tools during an expansion project or during the planning phases of new infrastructure. This article presents a methodology that combines simulation approaches with different description levels that complement each other when applied to the development of a new airport. The methodology is illustrated with an example that uses two models for an expansion project of an airport in The Netherlands. One model focuses on the operation of the airport from a high-level position, while the second focuses on other technical aspects of the operation that challenge the feasibility of the proposed configuration of the apron. The results show that by applying the methodology, analytical power is enhanced and the risk of making the wrong decisions is reduced. We identified the limitations that the future facility will have and the impact of the physical characteristics of the traffic that will operate in the airport. The methodology can be used for tackling different problems and studying particular performance indicators to help decision-makers take more informed decisions.
publishDate 2018
dc.date.none.fl_str_mv 2018-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/100863
Mota, Miguel Mujica; Bernardini, Javier Alejandro; Scala, Paolo; Ramírez Díaz, Gabriel Alberto; Simulation-based virtual cycle for multi-level airport analysis; Multidisciplinary Digital Publishing Institute; Aerospace; 5; 2; 4-2018; 1-18
2226-4310
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100863
identifier_str_mv Mota, Miguel Mujica; Bernardini, Javier Alejandro; Scala, Paolo; Ramírez Díaz, Gabriel Alberto; Simulation-based virtual cycle for multi-level airport analysis; Multidisciplinary Digital Publishing Institute; Aerospace; 5; 2; 4-2018; 1-18
2226-4310
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2226-4310/5/2/44
info:eu-repo/semantics/altIdentifier/doi/10.3390/aerospace5020044
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613033109749760
score 13.070432