Density-Adapting Layers towards PBN for UTM

Vincent Duchamp (1) , Leonid Sedov (2) , Valentin Polishchuk (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 LIU - Linköping University

We study separating urban unmanned aerial vehicles (UAV) traffic into altitude levels, using a PBN-inspired approach in which low-density airspace has few layers while congested areas in the city center are split into a larger number of layers. Navigating in the many-layers environment may require better vehicle equipage to support higher performance in terms of altimetry precision; our work thus follows the stakeholders encouragements to use performance-based navigation (PBN) in UAV traffic management (UTM). We present results for several traffic volume scenarios over Norrkoping municipality in Sweden, demonstrating applicability of our solutions in a city setting

Mots clés: Airspace design; Levels structure; Unmanned traffic management; Performance-based navigation; Very low level urban airspace

Domaines: Optimisation et contrôle [math.OC]

Vincent Duchamp, Leonid Sedov, Valentin Polishchuk. Density-Adapting Layers towards PBN for UTM. ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria. ⟨hal-02178436⟩