Evacuation route optimization architecture considering human factor-Reference-Cited by-同舟云学术

Evacuation route optimization architecture considering human factor

Published:2017-03-27 Issue:1 Volume:30 Page:53-66
ISSN:1875-8452
Container-title:AI Communications
language:
Short-container-title:AIC

Author:

Lujak Marin¹,Ossowski Sascha²

Affiliation:

1. IMT Lille Douai, Douai, France. E-mail: marin.lujak@imt-lille-douai.fr

2. CETINIA, University Rey Juan Carlos, Madrid, Spain. E-mail: sascha.ossowski@urjc.es

Publisher

IOS Press

Subject

Artificial Intelligence

Reference42 articles.

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3. The psychology of crowd behaviour in emergency evacuations: Results from two interview studies and implications for the fire and rescue services;Cocking;The Irish Journal of Psychology,2009

4. Self-organized lane formation and optimized traffic flow in army ants;Couzin;Proceedings of the Royal Society of London B: Biological Sciences,2003

5. The nature of collective resilience: Survivor reactions to the 2005 London bombings;Drury;International Journal of Mass Emergencies and Disasters,2009

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