Crowd Evacuations SaaS : An ABM Approach
Gutierrez-Milla, Albert (Universitat Autònoma de Barcelona)
Borges, Francisco (Universitat Autònoma de Barcelona)
Suppi Boldrito, Remo (Universitat Autònoma de Barcelona)
Luque, Emilio (Universitat Autònoma de Barcelona)

Date:	2015
Abstract:	Crowd evacuations involve thousands of persons in closed spaces. Having knowledge about where the problematic exits will be or where the disaster may occur can be crucial in emergency planning. We implemented a simulator using Agent Based Modelling able to model the behaviour of people in evacuation situations and a workflow able to run it in the cloud. The input is just a PNG image and the output are statistical results of the simulation executed on the cloud. This allows to provide the user with a system abstraction and only a map of the scenario is needed. Many events are held in main city squares, so to test our system we chose Siena and we fit about 28,000 individuals in the centre of the square. The software has special computational requirements because the results need to be statistically reliable. Because these needs we use distributed computing. In this paper we show how the simulator scales efficiently on the cloud.
Grants:	Ministerio de Economía y Competitividad TIN2011-24384
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Agent Based Modeling ; Crowd evacuations ; Cloud computing ; SaaS ; Distributed simulation
Published in:	Procedia computer science, Vol. 51 (June 2015) , p. 473-482, ISSN 1877-0509

DOI: 10.1016/j.procs.2015.05.271

10 p, 717.7 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > HPC4EAS (High Performance Computing for Efficient Applications and Simulation Research Group)
Articles > Research articles
Articles > Published articles