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Scheduling Air Traffic Controllers at the Remote Tower Center
LFV Research & Innovation, Stockholm, Sweden.
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.
2017 (English)In: Digital Avionics Systems Conference (DASC), 2017 IEEE/AIAA 36th, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Remote Tower Service (RTS) is one of the technological and operational solutions delivered for deployment by the Single European Sky ATM Research (SESAR) Programme. This new concept fundamentally changes how operators provide Air Traffic Services, as it becomes possible to control several airports from a single remote center. In such settings an air traffic controller works at a so-called “multiple position” at the Remote Tower Center (RTC), which means that he/she can handle two or more airports from one Remote Tower Module (controller working position). In this paper, we present an optimization framework designed for automation of staff planning at the RTC. We highlight the problems experienced with real airport flight schedules, and present optimal shift assignments for five Swedish airports that were chosen for remote operation.

Place, publisher, year, edition, pages
IEEE, 2017.
Series
Digital Avionics Systems Conference, E-ISSN 2155-7209
Keywords [en]
Air Traffic Management, Remote Control Tower, Optimal Personnel Scheduling, Integer Programming, Air Traffic Controller Rosters
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-142556DOI: 10.1109/DASC.2017.8102018ISI: 000417412000036ISBN: 978-1-5386-0365-9 (electronic)ISBN: 978-1-5386-0366-6 (print)OAI: oai:DiVA.org:liu-142556DiVA, id: diva2:1153796
Conference
36th IEEE/AIAA Digital Avionics Systems Conference (DASC), 2017SEP 17-21, 2017, St Petersburg, FL
Projects
KODIC
Note

Funding agencies: This research is part of the KODIC project supported by the Swedish Transport Administration (Trafikverket) and in-kind participation of LFV.

Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-01-02

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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
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  • asciidoc
  • rtf