A Distributed Architecture for Real-Time Evacuation Guidance in Large Smart Buildings

Marin Lujak1, Holger Billhardt2, Jüurgen Dunkel3, Alberto Fernández2, Ramón Hermoso4 and Sascha Ossowski2

  1. Ecole des Mines de Douai
  2. CETINIA, University Rey Juan Carlos
    {holger.billhardt, alberto.fernandez, sascha.ossowski}@urjc.es
  3. Computer Science Dept., Hochschule Hannover
  4. Computer Science Dept., University of Zaragoza


In this paper, we consider the route coordination problem in emergency evacuation of large smart buildings. The building evacuation time is crucial in saving lives in emergency situations caused by imminent natural or man-made threats and disasters. Conventional approaches to evacuation route coordination are static and predefined. They rely on evacuation plans present only at a limited number of building locations and possibly a trained evacuation personnel to resolve unexpected contingencies. Smart buildings today are equipped with sensory infrastructure that can be used for an autonomous situation-aware evacuation guidance optimized in real time. A system providing such a guidance can help in avoiding additional evacuation casualties due to the flaws of the conventional evacuation approaches. Such a system should be robust and scalable to dynamically adapt to the number of evacuees and the size and safety conditions of a building. In this respect, we propose a distributed route recommender architecture for situation-aware evacuation guidance in smart buildings and describe its key modules in detail. We give an example of its functioning dynamics on a use case.

Key words

Evacuation guidance, real-time routing, distributed evacuation coordination, complex event processing, situation aware routing

Digital Object Identifier (DOI)


Publication information

Volume 14, Issue 1 (January 2017)
Year of Publication: 2017
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Lujak, M., Billhardt, H., Dunkel, J., Fernández, A., Hermoso, R., Ossowski, S.: A Distributed Architecture for Real-Time Evacuation Guidance in Large Smart Buildings. Computer Science and Information Systems, Vol. 14, No. 1, 257–282. (2017), https://doi.org/10.2298/CSIS161014002L