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VisRuption: intuitive and efficient visualization of temporal airline disruption data

Published: 17 June 2013 Publication History

Abstract

The operation of an airline is a very complex task and disruptions to the planned operation can occur on very short notice. Already a small disruption like a delay of some minutes can cost the airline a tremendous amount of money. Hence, it is crucial to proactively control all operations of the airline and efficiently prioritize and handle disruptions. Due to the complex setting and the need for ad hoc decisions this task can only be carried out by human operation controllers. In the field of airline operations control there exists already a vast variety of different software in productive use. We analyze the different approaches from two of the market leaders and identify problematic design choices. We take into account this analysis and develop a set of rules for an intuitive visualization of airline disruption data. Finally, we introduce our tool for visualizing such data which complies to these rules. The visualization enables the user to gain a fast overview over the current problem situation and to intuitively prioritize different problems and problem hierarchies. The efficiency of the design is evaluated with the help of a user study which shows that the new system significantly outperforms the current state of the art.

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Cited By

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  • (2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
  • (2017)Knowledge Discovery and Data VisualizationInternational Journal of Organizational and Collective Intelligence10.4018/IJOCI.20170701057:3(56-69)Online publication date: 1-Jul-2017

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Published In

cover image Guide Proceedings
EuroVis '13: Proceedings of the 15th Eurographics Conference on Visualization
June 2013
508 pages

Sponsors

  • KAUST: King Abdullah University of Science and Technology
  • UFZ: Helmholtz Centre for Environmental Research
  • NVIDIA
  • IRTG: DFG's International Research Training Group 1131
  • Otto-von-Guericke University, Magdeburg, Germany: Otto-von-Guericke University, Magdeburg, Germany
  • Uinv. Leipzig: Universität Leipzig
  • DFG: German Research Council
  • IBM: IBM

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The Eurographs Association & John Wiley & Sons, Ltd.

Chichester, United Kingdom

Publication History

Published: 17 June 2013

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View all
  • (2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
  • (2017)Knowledge Discovery and Data VisualizationInternational Journal of Organizational and Collective Intelligence10.4018/IJOCI.20170701057:3(56-69)Online publication date: 1-Jul-2017

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