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dc.contributor.author
Martin, Rafael Fernando

dc.contributor.author
Parisi, Daniel Ricardo

dc.date.available
2024-07-02T10:21:17Z
dc.date.issued
2024-04
dc.identifier.citation
Martin, Rafael Fernando; Parisi, Daniel Ricardo; Anisotropic contractile particle model with avoidance for simulating pedestrian navigation in dilute and dense systems; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 633; 4-2024; 1-12
dc.identifier.issn
0378-4371
dc.identifier.uri
http://hdl.handle.net/11336/238753
dc.description.abstract
We introduce a novel rule-based pedestrian simulation model that extends an existing one byincorporating enhanced particle contact rules and evasive maneuver capabilities for collisionavoidance. The model is calibrated using individual trajectory data from avoidance experiments.With the same set of parameters, the new model satisfactorily replicates experimentalobservations, including the avoidance behavior of individual agents, fundamental diagrams ofunidirectional and bidirectional flows, as well as specific flow rates through bottlenecks.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Pedestrian dynamics
dc.subject
Collision avoidance
dc.subject
Navigation
dc.subject
Off-lattice cellular automaton
dc.subject.classification
Física de Partículas y Campos

dc.subject.classification
Ciencias Físicas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Anisotropic contractile particle model with avoidance for simulating pedestrian navigation in dilute and dense systems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-06-28T12:19:55Z
dc.journal.volume
633
dc.journal.pagination
1-12
dc.journal.pais
Países Bajos

dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Martin, Rafael Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires; Argentina
dc.description.fil
Fil: Parisi, Daniel Ricardo. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Physica A: Statistical Mechanics and its Applications

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S037843712300969X
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.physa.2023.129414
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