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|Year=2013
 
|Year=2013
 
|Month=April
 
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|Booktitle=Swarm Intelligent Symposium
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|Booktitle=IEEE Symposium on Swarm Intelligence (SIS)
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|Pages=276-283
 
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|Abstract=This paper presents a new decentralized approach for evacuating a large number of people from a building using mobile devices which can communicate locally with each other. We investigate the impact of the local communication between the devices on the evacuation by proposing a new distributed evacuation planning algorithm called Distributed Swarm Evacuation Planning. The main challenge in this approach concerns the local communication, which can be unreliable, incomplete, and delayed. Experiments show that we can significantly reduce the evacuation time compared to a modeled panic-like evacuation scenario and that the results are better than those of a shortest-path evacuation plan.
 
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|Link=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6615190
 
|Projekt=SME
 
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|Forschungsgruppe=Effiziente Algorithmen
 
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Aktuelle Version vom 25. Oktober 2013, 12:20 Uhr


Distributed Swarm Evacuation Planning


Distributed Swarm Evacuation Planning



Published: 2013 April
Herausgeber: IEEE
Buchtitel: IEEE Symposium on Swarm Intelligence (SIS)
Seiten: 276-283
Verlag: IEEE
Erscheinungsort: Singapore

Referierte Veröffentlichung

BibTeX

Kurzfassung
This paper presents a new decentralized approach for evacuating a large number of people from a building using mobile devices which can communicate locally with each other. We investigate the impact of the local communication between the devices on the evacuation by proposing a new distributed evacuation planning algorithm called Distributed Swarm Evacuation Planning. The main challenge in this approach concerns the local communication, which can be unreliable, incomplete, and delayed. Experiments show that we can significantly reduce the evacuation time compared to a modeled panic-like evacuation scenario and that the results are better than those of a shortest-path evacuation plan.

VG Wort-Seiten: to appear
Weitere Informationen unter: Link

Projekt

SME



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet