Abstract

In the scope of prior investigations conducted in the research project UDVeo, an exemplary U-Space system has been developed for the City of Hamburg. As a result, a four-stage concept for UAS airspace allocation in U-Spaces has been presented. In this study, that concept is assessed applying numerical optimization methods. Starting by taking an analysis of the system requirements, represented by demand scenarios, we derive boundary conditions regarding the anticipated traffic density. Then, we analyze performance data of available vehicles in order to derive the required extent of well-clear zone. Finally, we present a model for capacity computation of the most complex airspace allocation method and assess the design regarding three kinds of efficiency, which comprise detour over ground, flight time extension and departure delay, caused by deconfliction measures. The results show that for the derived parameters of a well-clear zone and the resulting operational volume, the high traffic densities anticipated due to future use cases, such as delivery, might result in significant values regarding detour, delay and flight time extension.

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