Conflict resolution with MVP for eVTOLs incurs median energy overhead below 1.5% but with tails up to 44%, and an ML model offers conservative predictions for mission planning.
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach
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eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces
Conflict resolution with MVP for eVTOLs incurs median energy overhead below 1.5% but with tails up to 44%, and an ML model offers conservative predictions for mission planning.