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Integrating Sensing and Routing for Indoor Evacuation

  • Jing Wang
  • Stephan Winter
  • Daniel Langerenken
  • Haifeng Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8728)

Abstract

Indoor evacuation systems are needed for rescue and safety management. A particular challenge is real-time evacuation route planning for the trapped people. In this paper, an integrated model is proposed for indoor evacuation used on mobile phones. With the purpose of employing real-time sensor data as references for evacuation route calculation, this paper makes an attempt to convert sensor systems to sensor graphs and associate these sensor graphs with route graph. Based on the integration of sensing and routing, sensor tracking and risk aware evacuation routes are generated dynamically for evacuees. Experiments of the proposed model are illustrated in the paper. The benefit of the integrated model could extend to hastily and secure indoor evacuation and it potentially presents an approach to correlate environmental information to geospatial information for indoor application.

Keywords

Wireless Sensor Network Geographic Information System Evacuation Route Fire Dynamic Simulation Evacuation Plan 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jing Wang
    • 1
    • 2
  • Stephan Winter
    • 2
  • Daniel Langerenken
    • 3
    • 2
  • Haifeng Zhao
    • 2
  1. 1.School of Mathematics and Computer ScienceWuhan Polytechnic UniversityChina
  2. 2.Department of Infrastructure EngineeringThe University of MelbourneAustralia
  3. 3.Cognitive Systems GroupUniversity of BremenGermany

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