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Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach
Joint Authors
Song, Ziqi
Wang, Hongyong
Wen, Ruiying
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In order to address the flight delays and risks associated with the forecasted increase in air traffic, there is a need to increase the capacity of air traffic management systems.
This should be based on objective measurements of traffic situation complexity.
In current air traffic complexity research, no simple means is available to integrate airspace and traffic flow characteristics.
In this paper, we propose a new approach for the measurement of air traffic situation complexity.
This approach considers the effects of both airspace and traffic flow and objectively quantifies air traffic situation complexity.
Considering the aircraft, waypoints, and airways as nodes, and the complexity relationships among these nodes as edges, a dynamic weighted network is constructed.
Air traffic situation complexity is defined as the sum of the weights of all edges in the network, and the relationships of complexity with some commonly used indices are statistically analyzed.
The results indicate that the new complexity index is more accurate than traffic count and reflects the number of trajectory changes as well as the high-risk situations.
Additionally, analysis of potential applications reveals that this new index contributes to achieving complexity-based management, which represents an efficient method for increasing airspace system capacity.
American Psychological Association (APA)
Wang, Hongyong& Song, Ziqi& Wen, Ruiying. 2018. Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181377
Modern Language Association (MLA)
Wang, Hongyong…[et al.]. Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach. Journal of Advanced Transportation No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1181377
American Medical Association (AMA)
Wang, Hongyong& Song, Ziqi& Wen, Ruiying. Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181377
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181377