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End-to-end drone route planning in flexible airspace design
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-2429-0842
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
LFV, Sweden.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
2024 (English)In: Transportation Research Interdisciplinary Perspectives, E-ISSN 2590-1982, Vol. 27, article id 101219Article in journal (Refereed) Published
Abstract [en]

Drone traffic, consisting of anything from small quadcopters for video and photography to large eVTOL transporting people, is expected to grow rapidly as soon as the challenges currently barring urban flights can be solved. One of the main challenges is how to automate authorization while both keeping full control over where and how drones fly over specific areas, and at the same time allowing the operators the freedom they require to successfully provide their services. While restrictions are necessary, being overly restrictive on plans has a negative impact on capacity, safety and efficiency. In this article we propose the combination of no-fly zones and flight grids into design elements for airspace design, to be used only where and when necessary. City planners can use these design elements to make both strategic decisions and real-time updates, and thereby set the rules for an automated system for planning and authorization. We describe the design elements, how to automatically find the optimal end-to-end route between or through these elements, a set of modifications or extension to improve flexibility even more, and demonstrate the efficacy of the approach through example airspace design patterns and by showing the resulting traffic in a drone traffic simulator.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 27, article id 101219
Keywords [en]
Unmanned aircraft systems, Air traffic management, Route planning, Optimization
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-208082DOI: 10.1016/j.trip.2024.101219ISI: 001314097500001Scopus ID: 2-s2.0-85203408683OAI: oai:DiVA.org:liu-208082DiVA, id: diva2:1902708
Funder
VinnovaSwedish Transport Administration
Note

Funding Agencies|Trafikverket, Sweden; VINNOVA, Sweden

Available from: 2024-10-02 Created: 2024-10-02 Last updated: 2024-12-12

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Lundin Palmerius, KarljohanUggla, AlexanderLundberg, Jonas

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  • apa
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Output format
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