A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions

Autores
Parisi, Daniel Ricardo; Gilman, Marcelo; Moldovan, Herman
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Social Force Model presents some limitations when describing the experimental data of pedestrian flows in normal conditions, in particular the specific flow rates for different door widths and the fundamental diagram. In the present work we propose a modification of this model that consists of a self-stopping mechanism to prevent a simulated pedestrian from continuously pushing over other pedestrians. With this simple change, the modified model is able to reproduce the specific flow rates and fundamental diagram of pedestrian flows for normal conditions as reported in the literature.
Fil: Parisi, Daniel Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gilman, Marcelo. No especifíca;
Fil: Moldovan, Herman. No especifíca;
Materia
Pedestrian dynamics simulation
Social force model
Specific flow rate
Fundamental diagram
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/247963
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal ConditionsParisi, Daniel RicardoGilman, MarceloMoldovan, HermanPedestrian dynamics simulationSocial force modelSpecific flow rateFundamental diagramhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The Social Force Model presents some limitations when describing the experimental data of pedestrian flows in normal conditions, in particular the specific flow rates for different door widths and the fundamental diagram. In the present work we propose a modification of this model that consists of a self-stopping mechanism to prevent a simulated pedestrian from continuously pushing over other pedestrians. With this simple change, the modified model is able to reproduce the specific flow rates and fundamental diagram of pedestrian flows for normal conditions as reported in the literature.Fil: Parisi, Daniel Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gilman, Marcelo. No especifíca;Fil: Moldovan, Herman. No especifíca;Elsevier Science2009-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/247963Parisi, Daniel Ricardo; Gilman, Marcelo; Moldovan, Herman; A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 388; 17; 9-2009; 3600-36080378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2009.05.027info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:26:11Zoai:ri.conicet.gov.ar:11336/247963instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:26:11.966CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
title A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
spellingShingle A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
Parisi, Daniel Ricardo
Pedestrian dynamics simulation
Social force model
Specific flow rate
Fundamental diagram
title_short A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
title_full A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
title_fullStr A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
title_full_unstemmed A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
title_sort A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions
dc.creator.none.fl_str_mv Parisi, Daniel Ricardo
Gilman, Marcelo
Moldovan, Herman
author Parisi, Daniel Ricardo
author_facet Parisi, Daniel Ricardo
Gilman, Marcelo
Moldovan, Herman
author_role author
author2 Gilman, Marcelo
Moldovan, Herman
author2_role author
author
dc.subject.none.fl_str_mv Pedestrian dynamics simulation
Social force model
Specific flow rate
Fundamental diagram
topic Pedestrian dynamics simulation
Social force model
Specific flow rate
Fundamental diagram
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The Social Force Model presents some limitations when describing the experimental data of pedestrian flows in normal conditions, in particular the specific flow rates for different door widths and the fundamental diagram. In the present work we propose a modification of this model that consists of a self-stopping mechanism to prevent a simulated pedestrian from continuously pushing over other pedestrians. With this simple change, the modified model is able to reproduce the specific flow rates and fundamental diagram of pedestrian flows for normal conditions as reported in the literature.
Fil: Parisi, Daniel Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gilman, Marcelo. No especifíca;
Fil: Moldovan, Herman. No especifíca;
description The Social Force Model presents some limitations when describing the experimental data of pedestrian flows in normal conditions, in particular the specific flow rates for different door widths and the fundamental diagram. In the present work we propose a modification of this model that consists of a self-stopping mechanism to prevent a simulated pedestrian from continuously pushing over other pedestrians. With this simple change, the modified model is able to reproduce the specific flow rates and fundamental diagram of pedestrian flows for normal conditions as reported in the literature.
publishDate 2009
dc.date.none.fl_str_mv 2009-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/247963
Parisi, Daniel Ricardo; Gilman, Marcelo; Moldovan, Herman; A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 388; 17; 9-2009; 3600-3608
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/247963
identifier_str_mv Parisi, Daniel Ricardo; Gilman, Marcelo; Moldovan, Herman; A Modification of the Social Force Model Can Reproduce Experimental Data of Pedestrian Flows in Normal Conditions; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 388; 17; 9-2009; 3600-3608
0378-4371
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2009.05.027
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614262558818304
score 13.070432

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