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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/4602148 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547343270936576 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-22806b62280f4a29ace5c8b2c0c0c2d9 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| 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 |