Empirical exploration of air traffic and human dynamics in terminal airspaces

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Title: Empirical exploration of air traffic and human dynamics in terminal airspaces
Author(s): Yang, L
Yin, S
Hu, M
Han, K
Zhang, H
Item Type: Journal Article
Abstract: We propose a multi-layer network approach to model and analyze air traffic terminal networks, which are viewed as complex, task-critical, techno-social systems with numerous interactions among airspaces, procedures, aircraft, and air traffic controllers (ATCOs). Route-based Airspace Network (RAN) and Flight Trajectory Network (FTN) are developed to represent critical physical and operational characteristics. Integrated Flow-Driven Network (IFDN) and Interrelated Conflict-Communication Network (ICCN) are formulated to represent air traffic flow transmissions and intervention from ATCOs, respectively. Furthermore, a set of analytical metrics, including network variables, complex network attributes, controllers’ cognitive complexity, and chaos metrics, are introduced and applied in a case study of Guangzhou terminal airspace. Empirical results show the existence of fundamental diagram and macroscopic fundamental diagram at the route, sector and terminal levels. Moreover, the dynamics and underlying mechanisms of “ATCOs-flow” interactions are revealed and interpreted by adaptive meta-cognition strategies based on network analysis of the ICCN. Finally, at the system level, chaos is identified in the conflict system and human behavioral system when traffic switches to the semi-stable or congested phase. This study offers analytical tools for understanding the complex human-flow interactions at potentially a broad range of air traffic systems, and underpins future developments and automation of intelligent air traffic management systems.
Publication Date: 11-Sep-2017
Date of Acceptance: 12-Aug-2017
URI: http://hdl.handle.net/10044/1/50552
DOI: https://dx.doi.org/10.1016/j.trc.2017.08.007
ISSN: 0968-090X
Publisher: Elsevier
Start Page: 219
End Page: 244
Journal / Book Title: Transportation Research Part C: Emerging Technologies
Volume: 84
Copyright Statement: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: air traffic flow
terminal airspace
multi-layer network
air traffic controller
nonlinear dynamics
chaos
09 Engineering
08 Information And Computing Sciences
15 Commerce, Management, Tourism And Services
Logistics & Transportation
Publication Status: Published
Article Number: TRC_1839
Embargo Date: 2019-03-11
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



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