A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics

Detalhes bibliográficos
Autor(a) principal: Cheng,Liangliang
Data de Publicação: 2017
Outros Autores: Yue,Kuizhi, Huang,Zhenghao
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Aerospace Technology and Management (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400495
Resumo: ABSTRACT: In order to make a sensible prediction on the air traffic flow management with conditions of wave-off and bolter, a system dynamic model for the night recovery operations of embarked aircrafts is built to ensure the adaption of air traffic flow with the capacity of air control at each phase of the recovery operations. The model aims at the characteristics of multiple feedbacks, delays and complex time varying, builds a stock flow diagram and operation model with impact factors of the night recovery system, and is simulated in Vensim(r) Personal Learning Edition 5.9. The simulation shows a reasonable prediction result for the night recovery of embarked aircrafts with conditions of bolter and wave-off and can provide a theoretical basis for scheduling the air traffic flow management of embarked aircrafts formation recovery.
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spelling A Prediction Model for Night Recovery of Embarked Aircrafts Based on System DynamicsAir traffic flow managementRecoveryEmbarked aircrafts formationSystem dynamicsComplex system modelingABSTRACT: In order to make a sensible prediction on the air traffic flow management with conditions of wave-off and bolter, a system dynamic model for the night recovery operations of embarked aircrafts is built to ensure the adaption of air traffic flow with the capacity of air control at each phase of the recovery operations. The model aims at the characteristics of multiple feedbacks, delays and complex time varying, builds a stock flow diagram and operation model with impact factors of the night recovery system, and is simulated in Vensim(r) Personal Learning Edition 5.9. The simulation shows a reasonable prediction result for the night recovery of embarked aircrafts with conditions of bolter and wave-off and can provide a theoretical basis for scheduling the air traffic flow management of embarked aircrafts formation recovery.Departamento de Ciência e Tecnologia Aeroespacial2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400495Journal of Aerospace Technology and Management v.9 n.4 2017reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v9i4.648info:eu-repo/semantics/openAccessCheng,LiangliangYue,KuizhiHuang,Zhenghaoeng2017-10-17T00:00:00Zoai:scielo:S2175-91462017000400495Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-10-17T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
title A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
spellingShingle A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
Cheng,Liangliang
Air traffic flow management
Recovery
Embarked aircrafts formation
System dynamics
Complex system modeling
title_short A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
title_full A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
title_fullStr A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
title_full_unstemmed A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
title_sort A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics
author Cheng,Liangliang
author_facet Cheng,Liangliang
Yue,Kuizhi
Huang,Zhenghao
author_role author
author2 Yue,Kuizhi
Huang,Zhenghao
author2_role author
author
dc.contributor.author.fl_str_mv Cheng,Liangliang
Yue,Kuizhi
Huang,Zhenghao
dc.subject.por.fl_str_mv Air traffic flow management
Recovery
Embarked aircrafts formation
System dynamics
Complex system modeling
topic Air traffic flow management
Recovery
Embarked aircrafts formation
System dynamics
Complex system modeling
description ABSTRACT: In order to make a sensible prediction on the air traffic flow management with conditions of wave-off and bolter, a system dynamic model for the night recovery operations of embarked aircrafts is built to ensure the adaption of air traffic flow with the capacity of air control at each phase of the recovery operations. The model aims at the characteristics of multiple feedbacks, delays and complex time varying, builds a stock flow diagram and operation model with impact factors of the night recovery system, and is simulated in Vensim(r) Personal Learning Edition 5.9. The simulation shows a reasonable prediction result for the night recovery of embarked aircrafts with conditions of bolter and wave-off and can provide a theoretical basis for scheduling the air traffic flow management of embarked aircrafts formation recovery.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400495
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400495
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v9i4.648
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
dc.source.none.fl_str_mv Journal of Aerospace Technology and Management v.9 n.4 2017
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron:DCTA
instname_str Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron_str DCTA
institution DCTA
reponame_str Journal of Aerospace Technology and Management (Online)
collection Journal of Aerospace Technology and Management (Online)
repository.name.fl_str_mv Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
repository.mail.fl_str_mv ||secretary@jatm.com.br
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