Decentralized learning enables fixed-wing aircraft to conform to AAM corridor boundaries over 94% of the time and reach goals efficiently in simulated single, sequential, and splitting corridor scenarios with infrequent tactical interventions except at high density.
Analysis of Traffic Flow in Structured Urban Airspace Networks with MFD-based Feedback Control,
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Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors
Decentralized learning enables fixed-wing aircraft to conform to AAM corridor boundaries over 94% of the time and reach goals efficiently in simulated single, sequential, and splitting corridor scenarios with infrequent tactical interventions except at high density.