Spatial game in cellular automaton evacuation model

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en von Schantz, Anton Ehtamo, Harri 2018-08-08T10:00:51Z 2018-08-08T10:00:51Z 2015
dc.identifier.citation von Schantz , A & Ehtamo , H 2015 , ' Spatial game in cellular automaton evacuation model ' PHYSICAL REVIEW E , vol 92 , no. 5 , 052806 , pp. 1-13 . DOI: 10.1103/PhysRevE.92.052805 en
dc.identifier.issn 1539-3755
dc.identifier.issn 1550-2376
dc.identifier.other PURE UUID: 4b1e6106-e2c3-4a8d-a0da-1a16e80d5c1c
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description.abstract For numerical simulations of crowd dynamics in an evacuation we need a computationally light environment, such as the cellular automaton model (CA). By choosing the right model parameters, different types of crowd behavior and collective effects can be produced. But the CA does not answer why, when, and how these different behaviors and collective effects occur. In this article, we present a model, where we couple a spatial evacuation game to the CA. In the game, an agent chooses its strategy by observing its neighbors' strategies. The game matrix changes with the distance to the exit as the evacuation conditions develop. In the resulting model, an agent's strategy choice alters the parameters that govern its behavior in the CA. Thus, with our model, we are able to simulate how evacuation conditions affect the behavior of the crowd. Also, we show that some of the collective effects observed in evacuations are a result of the simple game the agents play. en
dc.format.extent 1-13
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries PHYSICAL REVIEW E en
dc.relation.ispartofseries Volume 92, issue 5 en
dc.rights openAccess en
dc.subject.other 111 Mathematics en
dc.subject.other 113 Computer and information sciences en
dc.subject.other 512 Business and management en
dc.subject.other 112 Statistics and probability en
dc.title Spatial game in cellular automaton evacuation model en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Mathematics and Systems Analysis en
dc.subject.keyword 111 Mathematics
dc.subject.keyword 113 Computer and information sciences
dc.subject.keyword 512 Business and management
dc.subject.keyword 112 Statistics and probability
dc.identifier.urn URN:NBN:fi:aalto-201808084462
dc.identifier.doi 10.1103/PhysRevE.92.052805
dc.type.version publishedVersion

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