Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace

What is it about?

Due to the diversity of airport terminal airspace flight modes and the high global similarity of different flight modes from the same runway or corridor, current mainstream methods are difficult to achieve good clustering. For this reason, this paper first constructs a truncated dynamic time warping (TDTW) trajectory similarity measure, and proposes a hierarchical flight pattern mining method to obtain more precise and reasonable flight patterns.

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