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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Market Design for Drone Traffic Management |
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| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published electronically before print/final form (Epub ahead of print) |
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| Event Title | 36th AAAI Conference on Artificial Intelligence |
| Event Type | conference |
| Event Location | Vancouver, Canada (virtual) |
| Event Start Date | February 22 - 2022 |
| Event End Date | March 1 - 2022 |
| Place of Publication | Palo Alto, USA |
| Abstract Text | The rapid development of drone technology is leading to more and more use cases being proposed. In response, regulators are drawing up drone traffic management frameworks. However, to design solutions that are efficient, fair, simple, non-manipulable, and scalable, we need market design and AI expertise. To this end, we introduce the drone traffic management problem as a new research challenge to the market design and AI communities. We present five design desiderata that we have derived from our interviews with stakeholders from the regulatory side as well as from public and private enterprises. Finally, we provide an overview of the solution space to point out possible directions for future research. |
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