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Density-Adapting Layers towards PBN for UTM

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Résumé

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
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Dates et versions

hal-02178436 , version 1 (09-07-2019)

Identifiants

  • HAL Id : hal-02178436 , version 1

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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⟩
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