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Article: Potential field cellular automata model for overcrowded pedestrian flow

TitlePotential field cellular automata model for overcrowded pedestrian flow
Authors
KeywordsCost distribution
refined cells
evacuation
counter-flow
lane formation
Issue Date2020
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21
Citation
Transportmetrica A: Transport Science, 2020, v. 16 n. 3, p. 749-775 How to Cite?
AbstractA cellular automata model for overcrowded pedestrian flow is proposed by dividing a normal cell into nine small cells, among which the compressibility is such that one pedestrian referred by a central cell can share a side or corner cell with at most one or three other pedestrians. The compressibility between a pedestrian and a wall is half as much as that between pedestrians. Hence the model allows a density exceeding 10 ped/m2. The direction of motion minimizes the deviation from the negative gradient of cost potential, and the probability of movement decreases with the deviation and travel cost. The simulated fundamental diagram and evacuation process generally agree with field studies in the literature. The increased cost helps reproduce the formation of lanes in counter-flow; however, the degree depends on the amplitude of increase and the density, which is measured by the probability of gridlock and order parameter through simulation.
Persistent Identifierhttp://hdl.handle.net/10722/280952
ISSN
2019 Impact Factor: 2.424
2015 SCImago Journal Rankings: 1.352
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, P-
dc.contributor.authorLi, XY-
dc.contributor.authorDeng, HY-
dc.contributor.authorLin, ZY-
dc.contributor.authorZhang, XN-
dc.contributor.authorWong, SC-
dc.date.accessioned2020-02-25T07:43:12Z-
dc.date.available2020-02-25T07:43:12Z-
dc.date.issued2020-
dc.identifier.citationTransportmetrica A: Transport Science, 2020, v. 16 n. 3, p. 749-775-
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/280952-
dc.description.abstractA cellular automata model for overcrowded pedestrian flow is proposed by dividing a normal cell into nine small cells, among which the compressibility is such that one pedestrian referred by a central cell can share a side or corner cell with at most one or three other pedestrians. The compressibility between a pedestrian and a wall is half as much as that between pedestrians. Hence the model allows a density exceeding 10 ped/m2. The direction of motion minimizes the deviation from the negative gradient of cost potential, and the probability of movement decreases with the deviation and travel cost. The simulated fundamental diagram and evacuation process generally agree with field studies in the literature. The increased cost helps reproduce the formation of lanes in counter-flow; however, the degree depends on the amplitude of increase and the density, which is measured by the probability of gridlock and order parameter through simulation.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21-
dc.relation.ispartofTransportmetrica A: Transport Science-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 12 Feb 2020, available online: http://www.tandfonline.com/10.1080/23249935.2020.1722283-
dc.subjectCost distribution-
dc.subjectrefined cells-
dc.subjectevacuation-
dc.subjectcounter-flow-
dc.subjectlane formation-
dc.titlePotential field cellular automata model for overcrowded pedestrian flow-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2020.1722283-
dc.identifier.scopuseid_2-s2.0-85079518432-
dc.identifier.hkuros309213-
dc.identifier.volume16-
dc.identifier.issue3-
dc.identifier.spage749-
dc.identifier.epage775-
dc.identifier.isiWOS:000512839400001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2324-9935-

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