Standard Procedure-Guided Flight Trajectory Pattern Mining for Airport Terminal Airspace
Author:
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42405-024-00732-6.pdf
Reference41 articles.
1. Lee H, Lee H-TJIJOA, Sciences S (2023) Extracting flight plans from recorded ADS-B trajectories. Int J Aeronaut Space Sci 24(2):581–589. https://doi.org/10.1007/s42405-022-00539-3
2. Zeng W, Chu X, Xu Z, Liu Y, Quan Z (2022) Aircraft 4D trajectory prediction in civil aviation: a review. Aerospace 9(2):91. https://doi.org/10.3390/aerospace9020091
3. Gariel M, Srivastava AN, Feron E (2011) Trajectory Clustering and an application to airspace monitoring. IEEE Trans Intell Transp Syst 12(4):1511–1524. https://doi.org/10.1109/TITS.2011.2160628
4. Bosson CS, Nikoleris T (2018) Supervised learning applied to air traffic trajectory classification. In: 2018 AIAA Information Systems-AIAA Infotech@ Aerospace. p 1637.
5. Olive X, Basora L (2019) Identifying anomalies in past en-route trajectories with clustering and anomaly detection methods. ATM Seminar 2019.
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