Crowd simulation: applying mobile grids to the social force model

dc.creatorSaboia, P
dc.creatorGoldenstein, S
dc.date2012
dc.dateOCT
dc.date2014-07-30T14:03:01Z
dc.date2015-11-26T16:28:56Z
dc.date2014-07-30T14:03:01Z
dc.date2015-11-26T16:28:56Z
dc.date.accessioned2018-03-28T23:10:00Z
dc.date.available2018-03-28T23:10:00Z
dc.identifierVisual Computer. Springer, v. 28, n. 10, n. 1039, n. 1048, 2012.
dc.identifier0178-2789
dc.identifierWOS:000308643900009
dc.identifier10.1007/s00371-012-0731-y
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/57427
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/57427
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1269601
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe social force model (SF) is able to reproduce many emergent phenomena observed in real crowds. Unfortunately, in some situations, such as low density environments, SF may produce counterintuitive results where the trajectories simulated look more like particles than to real people. We modify the SF model through the use of a mobile grid to allow the simulated pedestrians to change the direction of their desired velocity at reasonable times, thus avoiding nearby blocked or crowded areas smoothly. Our experiments focus on qualitative behavior, and verify that our model produces the desired trajectories of the pedestrians, achieving softer and more coherent trajectories when compared to the pure SF model solution. Like SF, our model reproduces the "faster-is-slower" and the arching underlying the clogging effects. Finally, we examine the occupation rates of the space when pedestrians were submitted to narrowed corridors and observe the "edge effect.".
dc.description28
dc.description10
dc.descriptionSI
dc.description1039
dc.description1048
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageen
dc.publisherSpringer
dc.publisherNew York
dc.publisherEUA
dc.relationVisual Computer
dc.relationVisual Comput.
dc.rightsfechado
dc.rightshttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dc.sourceWeb of Science
dc.subjectCrowd simulation
dc.subjectSocial force model
dc.subjectMobile grid
dc.subjectFlow
dc.subjectBehavior
dc.subjectPedestrians
dc.subjectEvacuation
dc.subjectDynamics
dc.titleCrowd simulation: applying mobile grids to the social force model
dc.typeArtículos de revistas


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