Dynamic Multiscale Visualization of Flight Data

Tijmen Klein, Matthew van der Zwan, Alexandru Telea

Abstract

We present a novel set of techniques for visualization of very large data sets encoding flight information obtained from Air Traffic Control. The aims of our visualization are to provide a smooth way to explore the available information and find outlier spatio-temporal patterns by navigating between fine-scale, detail, views on the data and coarse overviews of large areas and long time periods. To achieve this, we extend and adapt several image-based visualization techniques, including animation, density maps, and bundled graphs. In contrast to previous methods, we are able to visualize significantly more information on a single screen, with limited clutter, and also create real-time animations of the data. For computational scalability, we implement our method using GPU-accelerated techniques. We demonstrate our results on several real-world data sets ranging from hours over a country to one month over the entire world.

References

  1. ADS-B (2013). Automatic dependent surveillance broadcast. http://www.ads-b.com.
  2. Andrienko, G., Andrienko, N., Burch, M., and Weiskopf, D. (2012). Visual analytics methodology for eye movement studies. IEEE TVCG, 18(12):2889-2898.
  3. Andrienko, G., Andrienko, N., and Heurich, M. (2011). An event-based conceptual model for context-aware movement analysis. Int. J. Geogr. Inf. Sci., 25(9):1347-1370.
  4. Andrienko, G., Andrienko, N., and Wrobel, S. (2007). Visual analytics tools for analysis of movement data. ACM SIGKDD Exploration Newsletter, 9(2):38-46.
  5. Bilimoria, K. D., Sridhar, B., Chatterji, G. B., Sheth, K. S., and Grabbe, S. (2001). Facet: Future atm concepts evaluation tool. Air Traffic Control Quarterly, 9(1).
  6. Cui, W., Zhou, H., Qu, H., Wong, P., and Li, X. (2008). Geometry-based edge clustering for graph visualization. IEEE TVCG, 14(6):1277-1284.
  7. Ersoy, O., Hurter, C., Paulovich, F., Cantareira, G., and Telea, A. (2011). Skeleton-based edge bundles for graph visualization. IEEE TVCG, 17(2):2364 - 2373.
  8. Eurocontrol (2013). NEST: Network Strategic Tool. www.eurocontrol.int/articles/airspace-modelling.
  9. GAIN Group (2004). Guide to methods and tools for airline flight safety analysis. flightGaspard-Boulinc, H., Jestin, Y., and Fleury, L. (2003). Epoques: a user-centerd approach to design tools and methods for atm safety occurences treatment. In Proc. ESReDA (European Safety, Reliability and Data Association). European Commission.
  10. Holten, D. and van Wijk, J. J. (2009). Force-directed edge bundling for graph visualization. CGF, 28(3):670- 677.
  11. Hurter, C., Ersoy, O., and Telea, A. (2011). Moleview: An attribute and structure-based semantic lens for large element-based plots. IEEE TVCG, 17(12):2600-2609.
  12. Hurter, C., Ersoy, O., and Telea, A. (2012). Graph bundling by kernel density estimation. CGF, 31(3):435-443.
  13. Hurter, C., Ersoy, O., and Telea, A. (2013). Smooth bundling of large streaming and sequence graphs. In Proc. PacificVis, pages 374-382. IEEE.
  14. Hurter, C., Tissoires, B., and Conversy, S. (2009). FromDaDy: Spreading data across views to support iterative exploration of aircraft trajectories. IEEE TVCG, 15(6):1017-1024.
  15. Keim, D., Andrienko, G., Andrienko, N., Jankowski, P., Kraak, M., MacEachren, A., and Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. Intl. J. Geo. Info. Sci., 21(8):839-857.
  16. Krüger, R., Thom, D., Wörner, M., Bosch, H., and Ertl, T. (2013). TrajectoryLenses - a set-based filtering and exploration technique for long-term trajectory data. CGF, 32(3):451-460.
  17. Lambert, A., Bourqui, R., and Auber, D. (2010a). 3D edge bundling for geographical data visualization. In Proc. Information Visualisation, pages 329-335.
  18. Lambert, A., Bourqui, R., and Auber, D. (2010b). Winding roads: Routing edges into bundles. CGF, 29(3):432- 439.
  19. Letondal, C., Hurter, C., Lesbordes, R., Vinot, J. L., and Conversy, S. (2013). Flights in my hands: coherence concerns in designing strip'tic, a tangible space for air traffic controllers. In Proc. ACM CHI, pages 2175- 2184.
  20. Mansmann, F., Keim, D. A., North, S. C., Rexroad, B., and Sheleheda, D. (2007). Visual analysis of network traffic for resource planning, interactive monitoring, and interpretation of security threats. IEEE TVCG, 13(6):985-997.
  21. Marzuoli, A., Hurter, C., and Feron, E. (2012). Data visualization techniques for airspace flow modeling. In Proc. Intelligent Data Understanding (CIDU), pages 79-86.
  22. PlaneFinder (2013). planefinder.net.
  23. Scheepens, R., Willems, N., van de Wetering, H., Andrienko, G., Andrienko, N., and van Wijk, J. J. (2011). Composite density maps for multivariate trajectories. IEEE TVCG, 17(12):2518-2527.
  24. Thales, Inc. (2013). CoFlight Flight Data Processing Framework. www.thalesgroup.com.
  25. Willems, N., van de Wetering, H., and van Wijk, J. J. (2010). Visualization of vessel movements. CGF, 28(3):959-966.
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Paper Citation


in Harvard Style

Klein T., van der Zwan M. and Telea A. (2014). Dynamic Multiscale Visualization of Flight Data . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 104-114. DOI: 10.5220/0004685701040114


in Bibtex Style

@conference{visapp14,
author={Tijmen Klein and Matthew van der Zwan and Alexandru Telea},
title={Dynamic Multiscale Visualization of Flight Data},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={104-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004685701040114},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Dynamic Multiscale Visualization of Flight Data
SN - 978-989-758-003-1
AU - Klein T.
AU - van der Zwan M.
AU - Telea A.
PY - 2014
SP - 104
EP - 114
DO - 10.5220/0004685701040114