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dc.contributor.authorIe, O.en
dc.date.accessioned2024-04-22T15:52:33Z-
dc.date.available2024-04-22T15:52:33Z-
dc.date.issued2022-
dc.identifier.citationIe, O 2022, Analysis of the temporal distribution of passenger traffic in road transport for the regional road network. в MD Todorov (ред.), Application of Mathematics in Technical and Natural Sciences - 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021., 050007, AIP Conference Proceedings, Том. 2522, American Institute of Physics Inc., 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021, Albena, Болгария, 24/06/2021. https://doi.org/10.1063/5.0100765harvard_pure
dc.identifier.citationIe, O. (2022). Analysis of the temporal distribution of passenger traffic in road transport for the regional road network. в M. D. Todorov (Ред.), Application of Mathematics in Technical and Natural Sciences - 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021 [050007] (AIP Conference Proceedings; Том 2522). American Institute of Physics Inc.. https://doi.org/10.1063/5.0100765apa_pure
dc.identifier.isbn978-073544361-7
dc.identifier.issn0094-243X
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.01007651
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.0100765pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132323-
dc.description.abstractThe indicators of passenger traffic on road transport for the regional transport network, obtained on the basis of data from online ride-sharing services, are considered in the article. The features and patterns of daily fluctuations in passenger traffic are analyzed. Seasonal and cyclical fluctuations in passenger traffic volumes are modeled using harmonic analysis methods. All necessary statistical procedures are used to identify and evaluate the parameters of the model and to verify its adequacy and accuracy. Short-term forecasts and conclusions of the study are made based on the results obtained. © 2022 Author(s).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAPPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’212
dc.sourceAIP Conference Proceedingsen
dc.titleAnalysis of the temporal distribution of passenger traffic in road transport for the regional road networken
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name24 June 2021 through 29 June 2021en
dc.conference.date13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021
dc.identifier.doi10.1063/5.0100765-
dc.identifier.scopus85140225036-
local.contributor.employeeIe O., Ural State University of Railway Transport, 66 Kolmogorov str, Ekaterinburg, 620034, Russian Federation, Ural Federal University Named after First President of Russia B. N. Yeltsin, 19 Mir str, Ekaterinburg, 620002, Russian Federationen
local.volume2522
local.contributor.departmentUral State University of Railway Transport, 66 Kolmogorov str, Ekaterinburg, 620034, Russian Federationen
local.contributor.departmentUral Federal University Named after First President of Russia B. N. Yeltsin, 19 Mir str, Ekaterinburg, 620002, Russian Federationen
local.identifier.pure96d444b3-f310-4664-95ca-b9cad5b8af65uuid
local.identifier.pure32798479-
local.description.order50007
local.identifier.eid2-s2.0-85140225036-
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