A Trajectory-Oriented Unmanned Traffic Planning Assistant in Multi-Purpose Urban Air Environment.

In Urban Air Mobility (UAM), very high-volume unmanned aircraft traffic is expected, which significantly increases the possibilities of conflicts. With humans solving all potential conflicts, risks can always arise due to misjudgements or mistakes. Therefore, automated conflict detection and resolution have become very critical research problems. As urban airspace is a multi-purpose-controlled airspace and it is far more complicated than traditional high-altitude airspace for commercial aircraft, prioritisation of different types of conflict resolution needs to be carefully studied before implementation. This paper will investigate a digital assistant with the planning ability to prioritise Unmanned Aircraft (UA) related conflict resolution tasks within multi-purpose urban air environments. First, a mathematical model will be proposed to compute priority value. Decision variables including aircraft weight, airspeed, mission, and level of emergency etc. are considered. Secondly, simulations will be set up to apply the model, and evaluate the prioritisation planning ability. Finally, numerical results will be discussed to draw the conclusion. This preliminary research will assist in improving efficiency and reducing the workload for air traffic controllers working in UAM environments. [ABSTRACT FROM AUTHOR]