Peter Hoffmann
Visualization Research Center, University of Stuttgart (VISUS), Germany
Markus Höferlin
Visualization Research Center, University of Stuttgart (VISUS), Germany
Andreas Kirstädter
Institute for Communication Networks and Computer Systems, University of Stuttgart (IKR), Germany
Daniel Weiskopf
Visualization Research Center, University of Stuttgart (VISUS), Germany
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Published in: Proceedings of SIGRAD 2013; Visual Computing; June 13-14; 2013; Norrköping; Sweden
Linköping Electronic Conference Proceedings 94:1, p. 3-10
Published: 2013-11-04
ISBN: 978-91-7519-455-4
ISSN: 1650-3686 (print), 1650-3740 (online)
In a formative user study; we evaluated the requirements of visual analytics for dynamic evacuation planning. To this end; we created a prototype that implements the visual analytics methodology and is able to compute; visualize; and interact with evacuation routes in emergency situations in buildings. Using this prototype; we conducted an expert survey including a psychologist; a consultant for building safety measures; and a building planner. The survey provides essential information needed to build a tool that is able to evacuate people inside a building safely. Additionally; we report on results of the survey regarding technical limitations in obtaining data such as the evacuees’ position and their number to calculate the shortest routes during evacuation.
[AAB08a] ANDRIENKO G.; ANDRIENKO N.; BARTLING U.: Interactive
visual interfaces for evacuation planning. In Proceedings of the Working Conference on Advanced Visual Interfaces (2008); pp. 472–473. 3
[AAB08b] ANDRIENKO G.; ANDRIENKO N.; BARTLING U.: Visual analytics approach to user-controlled evacuation scheduling. Information Visualization 7; 1 (2008); 89–103. 3
[HBD05] HARASSE S.; BONNAUD L.; DESVIGNES M.: Finding people in video streams by statistical modeling. In Pattern Recognition and Image Analysis; Singh S.; Singh M.; Apte C.; Perner P.; (Eds.); Lecture Notes in Computer Science. Springer Berlin / Heidelberg; 2005; pp. 608–617. 7
[Hos09] HOSSER D.: Leitfaden Ingenieurmethoden des Brandschutzes. Tech. rep.; Vereinigung zur Förderung des Deutschen Brandschutzes e. V. (vfdb); Technisch-Wissenschaftlicher Beirat (TWB); Referat 4; Dietmar Hosser; 2009. 6
[KGS07] KIM S.; GEORGE B.; SHEKHAR S.: Evacuation route planning: scalable heuristics. In Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems (2007); pp. 20:1–20:8. 2
[KHdVP10] KOBES M.; HELSLOOT I.; DE VRIES B.; POST J. G.: Building safety and human behaviour in fire: A literature review. Fire Safety Journal 45; 1 (2010); 1–11. 6
[LGS05] LU Q.; GEORGE B.; SHEKHAR S.: Capacity constrained routing algorithms for evacuation planning: A summary of results. In Advances in Spatial and Temporal Databases; Bauzer Medeiros C.; Egenhofer M.; Bertino E.; (Eds.); Lecture Notes in Computer Science. Springer Berlin / Heidelberg; 2005; pp. 291–307. 2
[Pet04] PETERS H.: Road warning system; Patent: DE102004013566. URL: http://www.freepatents online.com/DE1020040 13566.html; November 2004.
7
[PM71] PREDTETSCHENSKIW. M.; MILINSKI A. I.: Personenströme in Gebäuden. Verlagsgesellschaft Rudolf Müller; 1971. 6; 7
[RHDW12] REDDY R.; HÖFERLIN M.; DAMBIER M.; WEISKOPF D.: Visual analytics for dynamic evacuation planning. In Proceedings of EuroVA 2012: International Workshop on Visual Analytics (2012); pp. 13–17. 2; 3; 6
[Yin09] YIN D.: A scalable heuristic for evacuation planning in large road network. In Proceedings of the Second International Workshop on Computational Transportation Science (2009); pp. 19–24. 2
[YLJ11] YANHUI W.; LIQIANG Z.; JINGTAO M.; LIU L.;
DONGQIN Y.; LIXIN Z.: Combining building and behavior models
for evacuation planning. IEEE Computer Graphics and Applications 31; 3 (2011); 42–55. 2
[ZC07] ZHANG E.; CHEN F.: A fast and robust people counting method in video surveillance. In International Conference on Computational Intelligence and Security (2007); pp. 339–343. 7
