Air Traffic Trends and UAV Safety: Leveraging Automatic Dependent Surveillance–Broadcast Data for Predictive Risk Mitigation

With the significant potential of Unmanned Aircraft Vehicles (UAVs) extending throughout various fields and industries, their proliferation raises concerns regarding potential risks within the national airspace system (NAS). To enhance the safe and efficient integration of UAVs into airport environm...

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Bibliographic Details
Main Authors:	Prasad Pothana, Paul Snyder, Sreejith Vidhyadharan, Michael Ullrich, Jack Thornby
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Aerospace
Subjects:	unmanned aircraft vehicle (UAV) Automatic Dependent Surveillance–Broadcast (ADS-B) recurrent neural network (RNN) flight traffic prediction machine learning risk mitigation
Online Access:	https://www.mdpi.com/2226-4310/12/4/284
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Air Traffic Trends and UAV Safety: Leveraging Automatic Dependent Surveillance–Broadcast Data for Predictive Risk Mitigation

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