Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/102545
Title: Computational approach for researching visitor flow dynamics at public venues and mass gathering events
Authors: Korelin, I.
Porshnev, S.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Korelin 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.
Abstract: Visitor 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.
Keywords: COMPUTATIONAL METHODS
QUEUEING NETWORKS
QUEUEING THEORY
COMPUTATIONAL APPROACH
DETERMINISTIC FUNCTIONS
DISCRETE EVENTS
MAXIMUM INTENSITIES
QUANTITATIVE CHARACTERISTICS
QUEUING SYSTEMS
SERVICE SPEED
WAITING LINES
DISCRETE EVENT SIMULATION
URI: http://elar.urfu.ru/handle/10995/102545
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097567029
WOS ID: 000773388001011
PURE ID: 874a2969-0625-478b-81ac-10d4808375df
20409434
ISSN: 17426588
DOI: 10.1088/1742-6596/1679/3/032038
Sponsorship: The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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