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Article: Potential field cellular automata model for pedestrian flow

TitlePotential field cellular automata model for pedestrian flow
Authors
KeywordsCellular automata models
Cellular automaton models
Cost distribution
Cost potential
Counter-flows
Issue Date2012
PublisherAmerican Physical Society. The Journal's web site is located at http://pre.aps.org
Citation
Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 2012, v. 85 n. 2, article no. 021119 How to Cite?
AbstractThis paper proposes a cellular automata model of pedestrian flow that defines a cost potential field, which takes into account the costs of travel time and discomfort, for a pedestrian to move to an empty neighboring cell. The formulation is based on a reconstruction of the density distribution and the underlying physics, including the rule for resolving conflicts, which is comparable to that in the floor field cellular automaton model. However, we assume that each pedestrian is familiar with the surroundings, thereby minimizing his or her instantaneous cost. This, in turn, helps reduce the randomness in selecting a target cell, which improves the existing cellular automata modelings, together with the computational efficiency. In the presence of two pedestrian groups, which are distinguished by their destinations, the cost distribution for each group is magnified due to the strong interaction between the two groups. As a typical phenomenon, the formation of lanes in the counter flow is reproduced. © 2012 American Physical Society.
Persistent Identifierhttp://hdl.handle.net/10722/145877
ISSN
2014 Impact Factor: 2.288
2015 SCImago Journal Rankings: 0.999
ISI Accession Number ID
Funding AgencyGrant Number
National Natural Science Foundation of China11072141
National Basic Research Program of China2012CB725404
Shanghai Program for Innovative Research Team in Universities
Research Grants Council of the Hong Kong Special Administrative Region, ChinaHKU7184/10E
National Research Foundation of KoreaNRF-2011-0000859
Korea government (MEST)
Funding Information:

The work described in this paper was jointly supported by the National Natural Science Foundation of China (Grant No. 11072141), the National Basic Research Program of China (2012CB725404), the Shanghai Program for Innovative Research Team in Universities, the Research Grants Council of the Hong Kong Special Administrative Region, China (Grant No. HKU7184/10E), and National Research Foundation of Korea rant No. NRF-2011-0000859 funded by the Korea government (MEST).

 

DC FieldValueLanguage
dc.contributor.authorZhang, Pen_US
dc.contributor.authorJian, XXen_US
dc.contributor.authorWong, SCen_US
dc.contributor.authorChoi, Ken_US
dc.date.accessioned2012-03-27T08:58:16Z-
dc.date.available2012-03-27T08:58:16Z-
dc.date.issued2012en_US
dc.identifier.citationPhysical Review E (Statistical, Nonlinear, and Soft Matter Physics), 2012, v. 85 n. 2, article no. 021119en_US
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10722/145877-
dc.description.abstractThis paper proposes a cellular automata model of pedestrian flow that defines a cost potential field, which takes into account the costs of travel time and discomfort, for a pedestrian to move to an empty neighboring cell. The formulation is based on a reconstruction of the density distribution and the underlying physics, including the rule for resolving conflicts, which is comparable to that in the floor field cellular automaton model. However, we assume that each pedestrian is familiar with the surroundings, thereby minimizing his or her instantaneous cost. This, in turn, helps reduce the randomness in selecting a target cell, which improves the existing cellular automata modelings, together with the computational efficiency. In the presence of two pedestrian groups, which are distinguished by their destinations, the cost distribution for each group is magnified due to the strong interaction between the two groups. As a typical phenomenon, the formation of lanes in the counter flow is reproduced. © 2012 American Physical Society.-
dc.languageengen_US
dc.publisherAmerican Physical Society. The Journal's web site is located at http://pre.aps.orgen_US
dc.relation.ispartofPhysical Review E (Statistical, Nonlinear, and Soft Matter Physics)en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
dc.subjectCellular automata models-
dc.subjectCellular automaton models-
dc.subjectCost distribution-
dc.subjectCost potential-
dc.subjectCounter-flows-
dc.titlePotential field cellular automata model for pedestrian flowen_US
dc.typeArticleen_US
dc.identifier.emailWong, SC: hhecwsc@hku.hken_US
dc.identifier.authorityWong, SC=rp00191en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1103/PhysRevE.85.021119-
dc.identifier.scopuseid_2-s2.0-84857582415-
dc.identifier.hkuros199004en_US
dc.identifier.volume85en_US
dc.identifier.issue2, article no. 021119-
dc.identifier.isiWOS:000300244200003-
dc.publisher.placeUnited States-
dc.identifier.citeulike10360045-

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