Chenglong Li

Strategic flight planning and conflict management for urban air mobility operations: a mission preference-constrained multiagent reinforcement learning approach

As an emerging low-altitude transportation paradigm, urban air mobility (UAM) is envisioned to support high-density and demand-driven operations involving diverse and flexible mission requests. However, the imbalance between limited urban airspace resources and growing operational demands inevitably causes frequent fli...