Detection and identification of significant events in historical aircraft trajectory data

Author:

Olive Xavier,Basora Luis

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference40 articles.

1. Clustering trajectories by relevant parts for air traffic analysis;Andrienko;IEEE Trans. Visualizat. Comput. Graphics,2018

2. Basora, L., Morio, J., Mailhot, C., 2017. A trajectory clustering framework to analyse air traffic flows. In: Proceedings of the 7th SESAR Innovation Days.

3. Basora, L., Courchelle, V., Bedouet, J., Dubot, T., 2018. Occupancy peak estimation from sector geometry and traffic flow data. In: Proceedings of the 8th SESAR Innovation Days.

4. Recent advances in anomaly detection methods applied to aviation;Basora;Aerospace,2019

5. Campello, R.J., Moulavi, D., Sander, J., 2013. Density-based clustering based on hierarchical density estimates. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, pp. 160–172.

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