Unmanned Aerial Vehicle (UAV) TRAFFIC Management Optimization in Urban Environments
Aeris Chief Scientist Andrew Annunzio “NASA is looking for innovative approaches for controlling commercial drone airspace to facilitate greater use in urban areas. This provided us with the opportunity to combine our meteorology modeling expertise with innovative machine learning algorithms. Our successes during the Phase I effort led to NASA funding Phase II.”
Average wind speed and streamlines 50m above ground level from a JOULES domain simulation with winds from the northeast.
Aircraft within Chicago prior to running the flight scheduling and route planning algorithm. The red aircraft denote locations of vehicles with airspace conflicts. Black aircraft do not have conflicts. Red bracket lines indicate location uncertainty.