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Advanced Autoplanner Final report
Responsible organisation
2021 (English)Report (Other academic)
Abstract [en]

The aim of the Advanced Autoplanner projects has been to investigate if Artificial Intelligence (AI) can assist in the provision of Air Traffic Control. There is an expectation that AI can contribute to increasing the efficiency in ways of working within Air Traffic Control, increase capacity and aid in handling future personnel retirement waves, with at least maintained safety and quality of service. The project has developed a model that, with the help of AI, autonomously provides Air Traffic Control instructions for one En-route sector in the Swedish airspace. The project has been performed using the Design Thinking Methodology and as a collaboration between LFV and IBM.

Place, publisher, year, edition, pages
LFV , 2021. , p. 20
Series
Trafikverkets forskningsportföljer
Keywords [en]
Air traffic control, Artificial Intelligence, planning
National Category
Engineering and Technology
Research subject
FOI-portföljer, Luftfartsområdet
Identifiers
URN: urn:nbn:se:trafikverket:diva-11589Archive number: TRV 2019/120148OAI: oai:DiVA.org:trafikverket-11589DiVA, id: diva2:1746959
Projects
Advanced Auto Planner
Funder
Swedish Transport Administration, TRV 2019/120148Available from: 2023-03-30 Created: 2023-03-30Bibliographically approved

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Engineering and Technology

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf