Aircraft Trajectory Clustering in Terminal Airspace Based on Deep Autoencoder and Gaussian Mixture Model

Aircraft Trajectory Clustering in Terminal Airspace Based on Deep Autoencoder and Gaussian Mixture Model

The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining the representative route structure of the arrival and departure trajectory and extracting their typical patterns, which is important for air traffic management such as airspace structure optimization, tr...

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Bibliographic Details
Main Authors: Weili Zeng, Zhengfeng Xu, Zhipeng Cai, Xiao Chu, Xiaobo Lu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Aerospace
Subjects:
air traffic control
trajectory clustering
deep autoencoder
Gaussian mixture model
Online Access:https://www.mdpi.com/2226-4310/8/9/266

Internet

https://www.mdpi.com/2226-4310/8/9/266

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