An energy-based flight planning system for unmanned traffic management

In this paper, we proposed an energy-based flight planning system for Unmanned Aircraft Systems (UAS) Traffic Management (UTM). Fuel consumption estimation at the flight planning stage is safety critical in general aviation, because energy-related failures are often life-threatening. However, conservative fuel estimation is not economical and environmentally friendly because carrying unnecessary fuel load burns a lot of extra fuel. The same reasoning holds in UTM. Aviation researchers are actively working on optimizing fuel loading, but such research is lacking in UTM. In this paper, we aim to optimize energy consumption in UTM with a flight planning system. The accuracy and effectiveness of the system is illustrated by experiments and simulations, respectively.

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