To gain an understanding about what information requirements there are for future operators of autonomous drone swarms at airport, this study examined how work at airports is structured today, what staff at airports think about the potential implementation of autonomous drones, and what potential interface components that are necessary to be able to control these drones. Interviews and observations were made at five different airports and air traffic control towers with tower and ground staff. Based on the collected data a Cognitive Work Analysis (CWA) was made to understand the domain and a Thematic Analysis (TA) was made to understand the ideas regarding the drones. Finally, a workshop with fellow researchers was made to generate ideas about solutions and interface requirements, which was analyzed together with the CWA and TA. It was concluded that the main values of the system are to maintain Situational Awareness, Avoid collisions, and Keep time in order to ensure safe flight traffic. A major aspect to make this possible is communication. This was also a main factor for the implementation of autonomous drones, where it was considered important to know what the drones are doing and where they are. However, it was not always necessary for every person at the airport to have complete oversight and control over the drone, but having the possibility to gain that information was central. Having overview of the drones’ present activities, being able to see what they had done, being able to control them directly, and getting notified about relevant information were interface requirements identified. It was concluded that despite there being some constraints and challenges to implementing autonomous drones at airports, there are aspects that can be taken into account and information to be presented in the right way for the future operator to enable implementation of the autonomous drones at airports.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-195922 |
| Date | January 2023 |
| Creators | Källbäcker, Jonathan |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| 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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