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dc.contributor.authorKorelin, I.en
dc.contributor.authorPorshnev, S.en
dc.date.accessioned2021-08-31T15:04:03Z-
dc.date.available2021-08-31T15:04:03Z-
dc.date.issued2020-
dc.identifier.citationKorelin I. Computational approach for researching visitor flow dynamics at public venues and mass gathering events / I. Korelin, S. Porshnev. — DOI 10.1088/1742-6596/1679/3/032038 // Journal of Physics: Conference Series. — 2020. — Vol. 1679. — Iss. 3. — 032038.en
dc.identifier.issn17426588-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097567029&doi=10.1088%2f1742-6596%2f1679%2f3%2f032038&partnerID=40&md5=9615b78d72d243964e30c53df1813582
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102545-
dc.description.abstractVisitor flow dynamics at public venues has been studied by using mathematical models of the non-stationary queuing system and discrete-event modelling. Computational approach for research visitor flows quantitative characteristics is described. The dependence of input rate from time in non-stationary queuing system model is like the dependencies of rate of visitors to football matches. Quantitative characteristics are waiting line length and waiting time (time spend in queue) from time for different parameters of the input rate and the service rate device. It is proven that the maximum values of the studied characteristics and the corresponding time values are described by deterministic functions that depend on the maximum intensity of visitor flow and the average service speed. The form of these functions is well described. © Published under licence by IOP Publishing Ltd.en
dc.description.sponsorshipThe work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIOP Publishing Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceJ. Phys. Conf. Ser.2
dc.sourceJournal of Physics: Conference Seriesen
dc.subjectCOMPUTATIONAL METHODSen
dc.subjectQUEUEING NETWORKSen
dc.subjectQUEUEING THEORYen
dc.subjectCOMPUTATIONAL APPROACHen
dc.subjectDETERMINISTIC FUNCTIONSen
dc.subjectDISCRETE EVENTSen
dc.subjectMAXIMUM INTENSITIESen
dc.subjectQUANTITATIVE CHARACTERISTICSen
dc.subjectQUEUING SYSTEMSen
dc.subjectSERVICE SPEEDen
dc.subjectWAITING LINESen
dc.subjectDISCRETE EVENT SIMULATIONen
dc.titleComputational approach for researching visitor flow dynamics at public venues and mass gathering eventsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1742-6596/1679/3/032038-
dc.identifier.scopus85097567029-
local.contributor.employeeKorelin, I., The Institute of Radioelectronics and Information Technologies, Ural Federal University, 32 Mira st., Yekaterinburg, 620002, Russian Federation
local.contributor.employeePorshnev, S., The Institute of Radioelectronics and Information Technologies, Ural Federal University, 32 Mira st., Yekaterinburg, 620002, Russian Federation, N N Krasovskii Institute of Mathematics and Mechanics, The Ural Branch, The Russian Academy of Sciences, Russian Federation
local.issue3-
local.volume1679-
dc.identifier.wos000773388001011-
local.contributor.departmentThe Institute of Radioelectronics and Information Technologies, Ural Federal University, 32 Mira st., Yekaterinburg, 620002, Russian Federation
local.contributor.departmentN N Krasovskii Institute of Mathematics and Mechanics, The Ural Branch, The Russian Academy of Sciences, Russian Federation
local.identifier.pure874a2969-0625-478b-81ac-10d4808375dfuuid
local.identifier.pure20409434-
local.description.order032038-
local.identifier.eid2-s2.0-85097567029-
local.identifier.wosWOS:000773388001011-
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