It is expected that the number of drones used in both commercial and leisure operations will grow significantly in the coming years, which raises the need for a solid framework for management of this traffic. Unmanned traffic management (UTM) is a system for handling autonomous drone flights over urban areas. This thesis addresses the central questions in UTM: how much traffic is sustainable in a city scenario and what are the possible ways of managing the flights. We consider both horizontal-maneuver collision avoidance and vertical deconfliction strategies, including risk management solutions inspired by performance-based navigation (PBN) - a unifying theme for ongoing airspace modernization efforts (we also consider traffic management for the conventional, manned aviation). We use mathematical modeling and conduct numerical simulations to obtain capacity estimations for a geographical area and present algorithms for airspace management. To our knowledge this is the first thesis on UTM, and several directions for future research are also identified.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-171201 |
| Date | January 2020 |
| Creators | Sedov, Leonid |
| Publisher | Linköpings universitet, Kommunikations- och transportsystem, Linköpings universitet, Tekniska fakulteten, Linköping |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Licentiate thesis, comprehensive summary, info:eu-repo/semantics/masterThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Linköping Studies in Science and Technology. Licentiate Thesis, 0280-7971 ; 1893 |
Page generated in 0.002 seconds