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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/100863
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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 |
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1844613033109749760 |
score |
13.070432 |