1. Электронный научный архив УрФУ
  2. 00. Общеуниверситетские коллекции
  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
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dc.contributor.authorRebrin, O. I.en
dc.contributor.authorZakharov, L. A.en
dc.contributor.authorDerksen, L. A.en
dc.contributor.authorEremenko, V. I.en
dc.date.accessioned2021-08-31T15:04:04Z-
dc.date.available2021-08-31T15:04:04Z-
dc.date.issued2020-
dc.identifier.citationModeling and forecasting the parameters of a railroad transport system / O. I. Rebrin, L. A. Zakharov, L. A. Derksen, et al. — DOI 10.1088/1742-6596/1679/3/032018 // Journal of Physics: Conference Series. — 2020. — Vol. 1679. — Iss. 3. — 032018.en
dc.identifier.issn17426588-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097537108&doi=10.1088%2f1742-6596%2f1679%2f3%2f032018&partnerID=40&md5=36614c665efd8f2940244a18b5a1c67b
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102548-
dc.description.abstractThe article describes an algorithm for constructing a mathematical model to predict the demand for railway passenger transportation. The model based on the SARIMAX methodology, considering the influence of seasonality and external variables on demand. The average absolute error of prediction result of the created model with the calculated parameters is 8%. The created model can be used as a decision support system in the field of passenger transportation. © Published under licence by IOP Publishing Ltd.en
dc.description.sponsorshipThe article was prepared with the financial support of the Center of Competence «Systems Engineering» established within the International Scientific and Methodological Center for the Transfer of Competencies of the Digital Economy of Ural Federal University, created in accordance with the Agreement dated 09.12.2019 No. 075-15-2019-1907.en
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.subjectDECISION SUPPORT SYSTEMSen
dc.subjectRAILROADSen
dc.subjectAVERAGE ABSOLUTE ERRORen
dc.subjectMODEL-BASED OPCen
dc.subjectMODELING AND FORECASTINGen
dc.subjectON DEMANDSen
dc.subjectPASSENGER TRANSPORTATIONen
dc.subjectRAILWAY PASSENGERSen
dc.subjectSEASONALITYen
dc.subjectTRANSPORT SYSTEMSen
dc.subjectFORECASTINGen
dc.titleModeling and forecasting the parameters of a railroad transport systemen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1742-6596/1679/3/032018-
dc.identifier.scopus85097537108-
local.contributor.employeeRebrin, O.I., Ural Federal University Named after the First President of Russia B. N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federation
local.contributor.employeeZakharov, L.A., Ural Federal University Named after the First President of Russia B. N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federation
local.contributor.employeeDerksen, L.A., Ural Federal University Named after the First President of Russia B. N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federation
local.contributor.employeeEremenko, V.I., Ural Federal University Named after the First President of Russia B. N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federation
local.issue3-
local.volume1679-
local.contributor.departmentUral Federal University Named after the First President of Russia B. N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federation
local.identifier.pure20409752-
local.identifier.purea705607a-251b-4d29-94ed-a7ab2cd381dfuuid
local.description.order032018-
local.identifier.eid2-s2.0-85097537108-
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