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Validation of Controller Workload Predictors at Convenonal and Remote Towers
LFV.
LFV.
LFV.
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)
Place, publisher, year, edition, pages
2020.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-169121OAI: oai:DiVA.org:liu-169121DiVA, id: diva2:1465374
Conference
ICRAT 2020
Note

We do a field study on controller workload in a conventional tower and a Remote Tower environment (in both single and multiple mode) and give a proof of concept for the validation of indicators on their workload predictability. We analyze the number of ATCO tasks (e.g., arrivals, taxi), the communication times related to different ATCO tasks (and use them as weights for the ATCO tasks), and reaction times to SPAM queries. We show that—while the pure number of ATCO tasks is not a necessary condition for an increase in workload rating—indicators that integrate the communication time related to these ATCO tasks are, that is, each increase in workload rating is accompanied by an increase in these indicators.

Available from: 2020-09-09 Created: 2020-09-09 Last updated: 2020-09-16

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Polishchuk, TatianaSchmidt, Christiane

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
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  • Other locale
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Output format
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  • asciidoc
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