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Morphing STARs vs drones and weather in TMA
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Science and Technology, Communications and Transport Systems.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
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2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present an optimization framework for computing STARs that slowly change over time, while always avoiding a set of moving obstacles in TMA. The framework is applied to two types of obstacles: a drone intruder and hazardous weather. We demonstrate the output of our algorithms on synthesized drone intrusion incidents and real storm cells in Stockholm Arlanda terminal area. 
Place, publisher, year, edition, pages
2020.
Keywords [en]
TMA route design, ATM, UTM, Weather avoidance
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-173972OAI: oai:DiVA.org:liu-173972DiVA, id: diva2:1536651
Conference
International Conference for Research in Air Transportation 2020, September 15, 2020
Funder
Swedish Transport AdministrationAvailable from: 2021-03-11 Created: 2021-03-11 Last updated: 2022-05-12Bibliographically approved

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Lemetti, AnastasiaPolishchuk, TatianaPolishchuk, Valentin

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Hardell, HenrikLemetti, AnastasiaPolishchuk, TatianaPolishchuk, Valentin
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
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