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A Step Towards Remote Tower Center Deployment: Optimizing Staff Scheduling
LFV Research & Innovation, 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: 11th USA/Europe Air Traffic Management Research and Development Seminar 2015: Proceedings, The European Organisation for the Safety of Air Navigation , 2017Conference paper, Published paper (Refereed)
Abstract [en]

—Remote Tower Service (RTSs) 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” in the remote center, that is, he/she handles two or more airports from one Remote Tower Module (RTM), i.e the controller working position. In this paper, we present an optimization framework for the traffic management at five Swedish airports that were chosen for remote operation using a Remote Tower Center designed to serve a number of airports. We highlight the problems experienced with real airport schedules, and present optimal assignments of the airports to the RTMs. We consider both scheduled traffic and special (non-scheduled) traffic at these five airports.

Place, publisher, year, edition, pages
The European Organisation for the Safety of Air Navigation , 2017.
Keywords [en]
Air Traffic Management, Remote Control Tower, Optimal Personnel Scheduling, Integer Programming
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-142571ISBN: 9781510810402 (print)OAI: oai:DiVA.org:liu-142571DiVA, id: diva2:1153829
Conference
International Seminar for Air Traffic Management Research and Development
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2017-11-29

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CiteExportLink to record
Permanent link

Direct link
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
  • text
  • asciidoc
  • rtf