Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network

A multilayer network approach to model and analyze air traffic networks is proposed. These networks are viewed as complex systems with interactions between airports, airspaces, procedures, and air traffic flows (ATFs). A topology-based airport-airspace network and a flight trajectory network are dev...

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Main Authors: Furong Jiang, Zhaoning Zhang, Xiaoxu Dai
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/4602148
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author Furong Jiang
Zhaoning Zhang
Xiaoxu Dai
author_facet Furong Jiang
Zhaoning Zhang
Xiaoxu Dai
author_sort Furong Jiang
collection DOAJ
description A multilayer network approach to model and analyze air traffic networks is proposed. These networks are viewed as complex systems with interactions between airports, airspaces, procedures, and air traffic flows (ATFs). A topology-based airport-airspace network and a flight trajectory network are developed to represent critical physical and operational characteristics. A multilayer traffic flow network and an interrelated traffic congestion propagation network are also formulated to represent the ATF connection and congestion propagation dynamics, respectively. Furthermore, a set of analytical metrics, including those of airport surface (AS), terminal controlled airspace (TCA), and area-controlled airspace (ACA), is introduced and applied to a case study in central and south-eastern China. The empirical results show the existence of a fundamental diagram of the airport, terminal, and intersections of air routes. Moreover, the dynamics and underlying mechanisms of congestion propagation through the AS-TCA-ACA network are revealed and interpreted using the classical susceptible-infectious-removed model in a hierarchical network. Finally, a high propagation probability among adjacent terminals and a high recovery probability are identified at the network system level. This study provides analytical tools for comprehending the complex interactions among air traffic systems and identifies future developments and automation of layered coupled air traffic management systems.
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institution Kabale University
issn 2042-3195
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publishDate 2023-01-01
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series Journal of Advanced Transportation
spelling doaj-art-22806b62280f4a29ace5c8b2c0c0c2d92025-02-03T06:45:09ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/4602148Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent NetworkFurong Jiang0Zhaoning Zhang1Xiaoxu Dai2Civil Aviation University of ChinaCivil Aviation University of ChinaCivil Aviation University of ChinaA multilayer network approach to model and analyze air traffic networks is proposed. These networks are viewed as complex systems with interactions between airports, airspaces, procedures, and air traffic flows (ATFs). A topology-based airport-airspace network and a flight trajectory network are developed to represent critical physical and operational characteristics. A multilayer traffic flow network and an interrelated traffic congestion propagation network are also formulated to represent the ATF connection and congestion propagation dynamics, respectively. Furthermore, a set of analytical metrics, including those of airport surface (AS), terminal controlled airspace (TCA), and area-controlled airspace (ACA), is introduced and applied to a case study in central and south-eastern China. The empirical results show the existence of a fundamental diagram of the airport, terminal, and intersections of air routes. Moreover, the dynamics and underlying mechanisms of congestion propagation through the AS-TCA-ACA network are revealed and interpreted using the classical susceptible-infectious-removed model in a hierarchical network. Finally, a high propagation probability among adjacent terminals and a high recovery probability are identified at the network system level. This study provides analytical tools for comprehending the complex interactions among air traffic systems and identifies future developments and automation of layered coupled air traffic management systems.http://dx.doi.org/10.1155/2023/4602148
spellingShingle Furong Jiang
Zhaoning Zhang
Xiaoxu Dai
Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
Journal of Advanced Transportation
title Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
title_full Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
title_fullStr Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
title_full_unstemmed Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
title_short Ground-Air Traffic Congestion Propagation Model Based on Hierarchical Control Interdependent Network
title_sort ground air traffic congestion propagation model based on hierarchical control interdependent network
url http://dx.doi.org/10.1155/2023/4602148
work_keys_str_mv AT furongjiang groundairtrafficcongestionpropagationmodelbasedonhierarchicalcontrolinterdependentnetwork
AT zhaoningzhang groundairtrafficcongestionpropagationmodelbasedonhierarchicalcontrolinterdependentnetwork
AT xiaoxudai groundairtrafficcongestionpropagationmodelbasedonhierarchicalcontrolinterdependentnetwork