On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations

This work presents two distinct and novel approaches to simulating dynamic queue formation and route decision-making in pedestrian systems. Queue formation is modeled by detecting pedestrians within a specific cutoff distance from others already in line, altering movement forces and leading to organ...

Descripción completa

Detalles Bibliográficos
Autores: García, A., Hernández-Delfin, D., Lee, D.J., Ellero, M.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2025
País:España
Institución:Basque Center for Applied Mathematics (BCAM)
Repositorio:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/2053
Acceso en línea:http://hdl.handle.net/20.500.11824/2053
https://doi.org/10.1016/j.simpat.2025.103130
Access Level:acceso embargado
Palabra clave:Pedestrian Dynamics
Social Force Model
Queue formation
Route choice
id ES_ae95e4d3cbaf45ef2575afd56c83e6ed
oai_identifier_str oai:bird.bcamath.org:20.500.11824/2053
network_acronym_str ES
network_name_str España
repository_id_str
spelling On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulationsGarcía, A.Hernández-Delfin, D.Lee, D.J.Ellero, M.Pedestrian DynamicsSocial Force ModelQueue formationRoute choiceThis work presents two distinct and novel approaches to simulating dynamic queue formation and route decision-making in pedestrian systems. Queue formation is modeled by detecting pedestrians within a specific cutoff distance from others already in line, altering movement forces and leading to organized queuing behavior. Two distinct methodologies are introduced to simulate dense, compressed formations and elongated, thin lines. A parametric analysis assesses how queue dimensions depend on model parameters. Additionally, we introduce a simple criterion for route selection based on the identification of queuing agents, prioritizing the most time-efficient route while accounting for delays caused by queues. Dynamic route changes are modeled by shifting between multiple pre-calculated velocity maps for each potential exit. Finally, both queuing and decision-making approaches are combined to study how queues affect route choice. Our results predict that pedestrian decision is influenced by the type of queue forming before the gates.BCAM Severo Ochoa excellence accreditation CEX2021-001142-S/MICINAEI/10.13039/501100011033 Basque Government through the ‘‘Mathematical Modeling Applied to Health’’ Project Provincial Council of Bizkaia as part of the 2023 Technology Transfer Program, Spain (M3OVE Project).2027202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/2053https://doi.org/10.1016/j.simpat.2025.103130reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Ingléshttps://www.sciencedirect.com/science/article/pii/S1569190X25000656info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2022-2025Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/embargoedAccessoai:bird.bcamath.org:20.500.11824/20532026-06-19T12:47:47Z
dc.title.none.fl_str_mv On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
title On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
spellingShingle On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
García, A.
Pedestrian Dynamics
Social Force Model
Queue formation
Route choice
title_short On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
title_full On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
title_fullStr On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
title_full_unstemmed On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
title_sort On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations
dc.creator.none.fl_str_mv García, A.
Hernández-Delfin, D.
Lee, D.J.
Ellero, M.
author García, A.
author_facet García, A.
Hernández-Delfin, D.
Lee, D.J.
Ellero, M.
author_role author
author2 Hernández-Delfin, D.
Lee, D.J.
Ellero, M.
author2_role author
author
author
dc.subject.none.fl_str_mv Pedestrian Dynamics
Social Force Model
Queue formation
Route choice
topic Pedestrian Dynamics
Social Force Model
Queue formation
Route choice
description This work presents two distinct and novel approaches to simulating dynamic queue formation and route decision-making in pedestrian systems. Queue formation is modeled by detecting pedestrians within a specific cutoff distance from others already in line, altering movement forces and leading to organized queuing behavior. Two distinct methodologies are introduced to simulate dense, compressed formations and elongated, thin lines. A parametric analysis assesses how queue dimensions depend on model parameters. Additionally, we introduce a simple criterion for route selection based on the identification of queuing agents, prioritizing the most time-efficient route while accounting for delays caused by queues. Dynamic route changes are modeled by shifting between multiple pre-calculated velocity maps for each potential exit. Finally, both queuing and decision-making approaches are combined to study how queues affect route choice. Our results predict that pedestrian decision is influenced by the type of queue forming before the gates.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
2027
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/2053
https://doi.org/10.1016/j.simpat.2025.103130
url http://hdl.handle.net/20.500.11824/2053
https://doi.org/10.1016/j.simpat.2025.103130
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S1569190X25000656
info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2022-2025
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416593068392448
score 15,228081