Individual-oriented Model Crowd Evacuations Distributed Simulation

Emergency plan preparation is an important problem in building design to evacuate people as fast as possible. Simulation exercises as fire drills are not a realistic situation to understand people behaviour. In the case of crowd evacuations the complexity and uncertainty of the systems increases. Co...

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Autores: Gutiérrez Millà, Albert|||0000-0002-6242-9414, Borges, Francisco|||0000-0003-4951-0522, Suppi, Remo|||0000-0002-0373-8292, Luque, Emilio|||0000-0002-2884-3232
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:306171
Acceso en línea:https://ddd.uab.cat/record/306171
https://dx.doi.org/urn:doi:10.1016/j.procs.2014.05.145
Access Level:acceso abierto
Palabra clave:IoM
Distributed Simulations
MPI
Crowd Evacuations
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spelling Individual-oriented Model Crowd Evacuations Distributed SimulationGutiérrez Millà, Albert|||0000-0002-6242-9414Borges, Francisco|||0000-0003-4951-0522Suppi, Remo|||0000-0002-0373-8292Luque, Emilio|||0000-0002-2884-3232IoMDistributed SimulationsMPICrowd EvacuationsEmergency plan preparation is an important problem in building design to evacuate people as fast as possible. Simulation exercises as fire drills are not a realistic situation to understand people behaviour. In the case of crowd evacuations the complexity and uncertainty of the systems increases. Computer simulation allows us to run crowd dynamics models and extract information from emergency situations. Several models solve the emergency evacuation problem. Individual oriented modelling allows to give behaviour rules to the individual and simulate interactions between them. Due to variation on the emergency situations results have to be statistically reliable. This reliability increases the computing demand. Distributed and parallel paradigms solve the performance problem. In the present work we present a crowd evacuations distributed simulator. We implemented two versions of the model. One using Netlogo and another using C with MPI. We chose a real environment to test the simulator: pavilion 2 of Fira de Barcelona building, able to hold thousands of persons. The distributed simulator was tested with 62,820 runs in a distributed environment with 15,000 individuals. In this work we show how the distributed simulator has a linear speedup and scales efficiently. 22014-01-0120142014-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/306171https://dx.doi.org/urn:doi:10.1016/j.procs.2014.05.145reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengMinisterio de Educación y Ciencia TIN2007-64974Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 TIN2011-24384open accesshttp://purl.org/coar/access_right/c_abf2Aquest 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.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3061712026-06-06T12:50:31Z
dc.title.none.fl_str_mv Individual-oriented Model Crowd Evacuations Distributed Simulation
title Individual-oriented Model Crowd Evacuations Distributed Simulation
spellingShingle Individual-oriented Model Crowd Evacuations Distributed Simulation
Gutiérrez Millà, Albert|||0000-0002-6242-9414
IoM
Distributed Simulations
MPI
Crowd Evacuations
title_short Individual-oriented Model Crowd Evacuations Distributed Simulation
title_full Individual-oriented Model Crowd Evacuations Distributed Simulation
title_fullStr Individual-oriented Model Crowd Evacuations Distributed Simulation
title_full_unstemmed Individual-oriented Model Crowd Evacuations Distributed Simulation
title_sort Individual-oriented Model Crowd Evacuations Distributed Simulation
dc.creator.none.fl_str_mv Gutiérrez Millà, Albert|||0000-0002-6242-9414
Borges, Francisco|||0000-0003-4951-0522
Suppi, Remo|||0000-0002-0373-8292
Luque, Emilio|||0000-0002-2884-3232
author Gutiérrez Millà, Albert|||0000-0002-6242-9414
author_facet Gutiérrez Millà, Albert|||0000-0002-6242-9414
Borges, Francisco|||0000-0003-4951-0522
Suppi, Remo|||0000-0002-0373-8292
Luque, Emilio|||0000-0002-2884-3232
author_role author
author2 Borges, Francisco|||0000-0003-4951-0522
Suppi, Remo|||0000-0002-0373-8292
Luque, Emilio|||0000-0002-2884-3232
author2_role author
author
author
dc.subject.none.fl_str_mv IoM
Distributed Simulations
MPI
Crowd Evacuations
topic IoM
Distributed Simulations
MPI
Crowd Evacuations
description Emergency plan preparation is an important problem in building design to evacuate people as fast as possible. Simulation exercises as fire drills are not a realistic situation to understand people behaviour. In the case of crowd evacuations the complexity and uncertainty of the systems increases. Computer simulation allows us to run crowd dynamics models and extract information from emergency situations. Several models solve the emergency evacuation problem. Individual oriented modelling allows to give behaviour rules to the individual and simulate interactions between them. Due to variation on the emergency situations results have to be statistically reliable. This reliability increases the computing demand. Distributed and parallel paradigms solve the performance problem. In the present work we present a crowd evacuations distributed simulator. We implemented two versions of the model. One using Netlogo and another using C with MPI. We chose a real environment to test the simulator: pavilion 2 of Fira de Barcelona building, able to hold thousands of persons. The distributed simulator was tested with 62,820 runs in a distributed environment with 15,000 individuals. In this work we show how the distributed simulator has a linear speedup and scales efficiently.
publishDate 2014
dc.date.none.fl_str_mv 2
2014-01-01
2014
2014-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/306171
https://dx.doi.org/urn:doi:10.1016/j.procs.2014.05.145
url https://ddd.uab.cat/record/306171
https://dx.doi.org/urn:doi:10.1016/j.procs.2014.05.145
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Educación y Ciencia TIN2007-64974
Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 TIN2011-24384
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
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