A Clustering-Based Anomaly Detection for Unstable Approach in Terminal Airspace

Author:

Xu Zhongrui,Lu Xiaoguang,Zhang Zhe,Wang Zhijie

Publisher

Springer Nature Singapore

Reference15 articles.

1. Corrado, S., Puranik, T., Pinon, O., Mavris, D.: Trajectory clustering within the terminal airspace utilizing a weighted distance function. In: Proceedings of the 8th OpenSky Symposium pp. 1–10 (2020)

2. Blajev, T., Curtis, W.: Go-around decision-making and execution project. Flight Saf. Found. 3–6 (2017)

3. Haodong, Z.: Aircraft flight anomaly detection algorithm based on flight trajectory. Mod. Comput. (Prof. Ed.) 01, 27–29 (2018)

4. Proud, S.R.: Go-around detection using crowd-sourced ADS-B position data. Aerospace 7(2), 16 (2020)

5. Lu, Z., Zhang, S., Dai, R., Huang, M.: Abnormal energy risk criteria of large civil airplanes in approach and landing. Acta Aeronauticaet Astronautica Sinica 42(6), 624132 (2021)

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