Cluster-Based Flight Trajectory Outlier Detection

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Cluster-Based Flight Trajectory Outlier Detection

Cluster-Based Flight Trajectory Outlier Detection

Mikol Forney / Banavar Sridhar / Kenneth Freeman

Given a set of flight trajectories, can we classify the trajectories that do not follow a normal path? By identifying abnormal trajectories, further analysis can be done to determine the reasoning for these actions. Addressing these scenarios can bring possible solutions for holding and rerouting problems when its time to incorporate UAM in the airspace.

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Title :

Cluster-Based Flight Trajectory Outlier Detection

Contributors:

Mikol Forney (author) / Banavar Sridhar (author) / Kenneth Freeman (author)

Conference:

Secure Airspace Intern Exit Presentations ; 2021 ; Virtual, US

Type of media :

Miscellaneous

Type of material :

No indication

Language :

English

Keywords :

Flight Trajectories , Machine Learning , Aeronautics (General)

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