Drones in low-altitude air space at a large scale is a new and ongoing field of research and there is a high possibility that we during the coming decades will see a rise in both commercial and state-driven drone activities in this space, especially in urban areas. This will require new ways in which to think and operate all air traffic management around the world. To support the research and realization of this, this master thesis will investigate a way to visualize performance indicators for drones that are related to key performance indicators used in air traffic today. This is done by researching commonly used performance metrics for air traffic and finding a suitable program that can visualize these in different graph types often used in information visualization, to build and evaluate an interactive dashboard that lets a user explore the performance data. The drone data used in this work is retrieved from a drone simulation program where delivery drones act between start, delivery and endpoints. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-187199 |
| Date | January 2022 |
| Creators | Kettisen, Anders |
| Publisher | Linköpings universitet, Fysik och elektroteknik, Linköpings universitet, Tekniska fakulteten |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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