From data to complex network control of airline flight delays

Abstract Many critical complex systems and networks are continuously monitored, creating vast volumes of data describing their dynamics. To understand and optimize their performance, we need to discover and formalize their dynamics to enable their control. Here, we introduce a multidisciplinary fram...

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Autores principales:	Xiang Niu, Chunheng Jiang, Jianxi Gao, Gyorgy Korniss, Boleslaw K. Szymanski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8999cc343fa34e59ac6a90745df0a00a
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spelling	oai:doaj.org-article:8999cc343fa34e59ac6a90745df0a00a2021-12-02T17:26:55ZFrom data to complex network control of airline flight delays10.1038/s41598-021-98112-72045-2322https://doaj.org/article/8999cc343fa34e59ac6a90745df0a00a2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98112-7https://doaj.org/toc/2045-2322Abstract Many critical complex systems and networks are continuously monitored, creating vast volumes of data describing their dynamics. To understand and optimize their performance, we need to discover and formalize their dynamics to enable their control. Here, we introduce a multidisciplinary framework using network science and control theory to accomplish these goals. We demonstrate its use on a meaningful example of a complex network of U.S. domestic passenger airlines aiming to control flight delays. Using the real data on such delays, we build a flight delay network for each airline. Analyzing these networks, we uncover and formalize their dynamics. We use this formalization to design the optimal control for the flight delay networks. The results of applying this control to the ground truth data on flight delays demonstrate the low costs of the optimal control and significant reduction of delay times, while the costs of the delays unabated by control are high. Thus, the introduced here framework benefits the passengers, the airline companies and the airports.Xiang NiuChunheng JiangJianxi GaoGyorgy KornissBoleslaw K. SzymanskiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiang Niu Chunheng Jiang Jianxi Gao Gyorgy Korniss Boleslaw K. Szymanski From data to complex network control of airline flight delays
description	Abstract Many critical complex systems and networks are continuously monitored, creating vast volumes of data describing their dynamics. To understand and optimize their performance, we need to discover and formalize their dynamics to enable their control. Here, we introduce a multidisciplinary framework using network science and control theory to accomplish these goals. We demonstrate its use on a meaningful example of a complex network of U.S. domestic passenger airlines aiming to control flight delays. Using the real data on such delays, we build a flight delay network for each airline. Analyzing these networks, we uncover and formalize their dynamics. We use this formalization to design the optimal control for the flight delay networks. The results of applying this control to the ground truth data on flight delays demonstrate the low costs of the optimal control and significant reduction of delay times, while the costs of the delays unabated by control are high. Thus, the introduced here framework benefits the passengers, the airline companies and the airports.
format	article
author	Xiang Niu Chunheng Jiang Jianxi Gao Gyorgy Korniss Boleslaw K. Szymanski
author_facet	Xiang Niu Chunheng Jiang Jianxi Gao Gyorgy Korniss Boleslaw K. Szymanski
author_sort	Xiang Niu
title	From data to complex network control of airline flight delays
title_short	From data to complex network control of airline flight delays
title_full	From data to complex network control of airline flight delays
title_fullStr	From data to complex network control of airline flight delays
title_full_unstemmed	From data to complex network control of airline flight delays
title_sort	from data to complex network control of airline flight delays
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8999cc343fa34e59ac6a90745df0a00a
work_keys_str_mv	AT xiangniu fromdatatocomplexnetworkcontrolofairlineflightdelays AT chunhengjiang fromdatatocomplexnetworkcontrolofairlineflightdelays AT jianxigao fromdatatocomplexnetworkcontrolofairlineflightdelays AT gyorgykorniss fromdatatocomplexnetworkcontrolofairlineflightdelays AT boleslawkszymanski fromdatatocomplexnetworkcontrolofairlineflightdelays
_version_	1718380799836815360

From data to complex network control of airline flight delays

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