Urban Air Mobility is on the verge of revolutionizing city transportation through VTOL vehicles, but safely managing thousands of simultaneous low-altitude flights demands infrastructure that does not yet exist. Legacy air traffic systems are human-dependent, built for high-altitude operations, and wholly unequipped to navigate dense 3D urban environments or resolve real-time conflicts among multiple operators at scale. The stakes are high: without automated solutions, urban airspace becomes a safety bottleneck.
This technology directly addresses those gaps by replacing manual oversight with an automated system purpose-built for high-density urban airspace. It constructs 3D flyable networks from LiDAR data, calculates optimal paths between vertiports, and resolves scheduling conflicts in real time using advanced mathematical optimization. Crucially, it balances competing operator priorities through both cost-minimization and equity-maximizing models, while rolling window scheduling ensures dynamic adaptability. The result is a scalable, conflict-free air traffic solution ready for the complexity of tomorrow's cities.
Workflow of AAFPS.