Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function

Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function

To support efforts to modernize aviation systems to be safer and more efficient, high-precision trajectory prediction and robust anomaly detection methods are required. The terminal airspace is identified as the most critical airspace for individual flight-level and system-level safety and efficienc...

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Bibliographic Details
Main Authors: Samantha J. Corrado, Tejas G. Puranik, Oliva J. Pinon, Dimitri N. Mavris
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Proceedings
Subjects:
trajectory clustering
HDBSCAN
machine learning
ADS-B
air traffic management
Online Access:https://www.mdpi.com/2504-3900/59/1/7

Internet

https://www.mdpi.com/2504-3900/59/1/7

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