Paper
22 December 2021 Research on the identification of prevalent air traffic flow in the terminal area
Zhiwei Wang, Jixin Liu, Hao Jiang, Songruixue Yang
Author Affiliations +
Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120584W (2021) https://doi.org/10.1117/12.2619653
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China
Abstract
With the rapid growth of air traffic flow, in order to accurately analyze the spatial distribution characteristics of air traffic flow in the terminal area, optimize the design of arrival and departure route and improve the service level of air traffic control, a method for identifying the main air traffic flow from a large number of arrival aircraft flight trajectories is studied. Based on the analysis of the characteristics of the actual operating trajectory data, the flight characteristics are retained by the resampling method, the trajectory feature points are extracted, and the K-means algorithm is used to cluster the flight trajectories in the terminal area to achieve the identification of the prevalent air traffic flow, and the difference between the central trajectories of aircraft flight during different time periods of daytime and nighttime is compared and analyzed. The results of the experimental research show that the method can effectively identify the prevalent air traffic flow from the complicated flight trajectory information through an instance verification of Guangzhou Baiyun Airport.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiwei Wang, Jixin Liu, Hao Jiang, and Songruixue Yang "Research on the identification of prevalent air traffic flow in the terminal area", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120584W (22 December 2021); https://doi.org/10.1117/12.2619653
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KEYWORDS
Analytical research

Data centers

Data mining

Data modeling

Distance measurement

Feature extraction

Radar

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