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What is Urban Airspace Prediction for UAM about?

This paper presents a data-driven approach to identify and predict urban airspace availability for Urban Air Mobility (UAM) operations, utilizing historical aircraft tracking and meteorological data. The study focuses on Sao Paulo, Brazil, demonstrating that dynamic allocation of airspace can increase UAM accessibility by over 5% while emphasizing the importance of advanced technologies in managing airspace separation requirements. The findings suggest that effective integration of UAM into existing air tra

Author

atcosupport

Language

EN