Flight schedule adjustment for hub airports using multi-objective optimization

Based on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the...

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Autores principales:	Tao Mei, Ma Lan, Ma Yiming
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	hub airport flight schedule optimization feasible flight connections flight queuing delay flight slot displacements Science Q Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/488cc1ec374b4e52a279cea1c12113e9
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id	oai:doaj.org-article:488cc1ec374b4e52a279cea1c12113e9
record_format	dspace
spelling	oai:doaj.org-article:488cc1ec374b4e52a279cea1c12113e92021-12-05T14:10:51ZFlight schedule adjustment for hub airports using multi-objective optimization2191-026X10.1515/jisys-2020-0114https://doaj.org/article/488cc1ec374b4e52a279cea1c12113e92021-07-01T00:00:00Zhttps://doi.org/10.1515/jisys-2020-0114https://doaj.org/toc/2191-026XBased on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the “Demand Smoothing Model” is introduced into the flight schedule optimization model to reduce the queuing delays for arrival and departure flights. We take into account all aircraft itineraries, the difficulty level of schedule coordination, and the maximum displacement of any single flight acceptable to airlines when optimizing flight schedule. Given an original schedule, the model produces a feasible modified schedule that obeys the slot limits specified for an airport without canceling any flights, increases transfer opportunities, and improves on-time performance for hub airports while reducing interference with airline scheduling preferences. The model was verified with the operating data of the Urumqi international airport, and the results show that minor adjustments to flight schedules can increase the transfer opportunities of the airport and significantly reduce flight queuing delays.Tao MeiMa LanMa YimingDe Gruyterarticlehub airportflight schedule optimizationfeasible flight connectionsflight queuing delayflight slot displacementsScienceQElectronic computers. Computer scienceQA75.5-76.95ENJournal of Intelligent Systems, Vol 30, Iss 1, Pp 931-946 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hub airport flight schedule optimization feasible flight connections flight queuing delay flight slot displacements Science Q Electronic computers. Computer science QA75.5-76.95
spellingShingle	hub airport flight schedule optimization feasible flight connections flight queuing delay flight slot displacements Science Q Electronic computers. Computer science QA75.5-76.95 Tao Mei Ma Lan Ma Yiming Flight schedule adjustment for hub airports using multi-objective optimization
description	Based on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the “Demand Smoothing Model” is introduced into the flight schedule optimization model to reduce the queuing delays for arrival and departure flights. We take into account all aircraft itineraries, the difficulty level of schedule coordination, and the maximum displacement of any single flight acceptable to airlines when optimizing flight schedule. Given an original schedule, the model produces a feasible modified schedule that obeys the slot limits specified for an airport without canceling any flights, increases transfer opportunities, and improves on-time performance for hub airports while reducing interference with airline scheduling preferences. The model was verified with the operating data of the Urumqi international airport, and the results show that minor adjustments to flight schedules can increase the transfer opportunities of the airport and significantly reduce flight queuing delays.
format	article
author	Tao Mei Ma Lan Ma Yiming
author_facet	Tao Mei Ma Lan Ma Yiming
author_sort	Tao Mei
title	Flight schedule adjustment for hub airports using multi-objective optimization
title_short	Flight schedule adjustment for hub airports using multi-objective optimization
title_full	Flight schedule adjustment for hub airports using multi-objective optimization
title_fullStr	Flight schedule adjustment for hub airports using multi-objective optimization
title_full_unstemmed	Flight schedule adjustment for hub airports using multi-objective optimization
title_sort	flight schedule adjustment for hub airports using multi-objective optimization
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/488cc1ec374b4e52a279cea1c12113e9
work_keys_str_mv	AT taomei flightscheduleadjustmentforhubairportsusingmultiobjectiveoptimization AT malan flightscheduleadjustmentforhubairportsusingmultiobjectiveoptimization AT mayiming flightscheduleadjustmentforhubairportsusingmultiobjectiveoptimization
_version_	1718371665277091840

Flight schedule adjustment for hub airports using multi-objective optimization

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