Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://elar.urfu.ru/handle/10995/131115
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Ie, O. | en |
dc.date.accessioned | 2024-04-05T16:38:57Z | - |
dc.date.available | 2024-04-05T16:38:57Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Ie, O 2023, Modeling the dynamics of passenger traffic in road transport for the regional road network: book chapter. в AG Galkin & SV Bushuev (ред.), 2021 International Scientific and Practical Conference on Railway Transport and Technologies, RTT 2021: book. Том. 2624, AIP Conference Proceedings, № 1, Том. 2624, American Institute of Physics Inc. https://doi.org/10.1063/5.0132237 | harvard_pure |
dc.identifier.citation | Ie, O. (2023). Modeling the dynamics of passenger traffic in road transport for the regional road network: book chapter. в A. G. Galkin, & S. V. Bushuev (Ред.), 2021 International Scientific and Practical Conference on Railway Transport and Technologies, RTT 2021: book (Том 2624). (AIP Conference Proceedings; Том 2624, № 1). American Institute of Physics Inc.. https://doi.org/10.1063/5.0132237 | apa_pure |
dc.identifier.isbn | 9780735447066 | - |
dc.identifier.issn | 0094-243X | - |
dc.identifier.other | Final | 2 |
dc.identifier.other | All Open Access, Bronze | 3 |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182007844&doi=10.1063%2f5.0132237&partnerID=40&md5=9147a805d8ec87daaedc043898ed2de9 | 1 |
dc.identifier.other | https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0132237/18275240/050012_1_5.0132237.pdf | |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/131115 | - |
dc.description.abstract | Problems of modeling seasonality in the study of the temporal distribution of passenger traffic in road transport according to the daily data on the example of the Sverdlovsk region for the period February-November 2021 are considered in the article. The use of a statistical approach based on adaptive models made it possible to obtain an adequate model with good statistical and predictive properties. Algorithms for constructing the Holt-Winters model and its software implementation in Python are considered. The indicators studied in the work had a number of features that were taken into account in the modeling. Point and interval estimates of the forecast of passenger traffic for December 2021 were found. © 2023 Author(s). | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | American Institute of Physics Inc. | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | AIP Conference Proceedings | 2 |
dc.source | AIP Conference Proceedings | en |
dc.title | Modeling the dynamics of passenger traffic in road transport for the regional road network | en |
dc.type | Conference Paper | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.conference.name | 2021 International Scientific and Practical Conference on Railway Transport and Technologies, RTT 2021 | en |
dc.conference.date | 24 November 2021 through 25 November 2021 | - |
dc.identifier.doi | 10.1063/5.0132237 | - |
dc.identifier.scopus | 85182007844 | - |
local.contributor.employee | Ie, O., Ural State University of Railway Transport, Ekaterinburg, Russian Federation, Ural Federal University Named after First President of Russia B. N. Yeltsin, Ekaterinburg, Russian Federation | en |
local.issue | 1 | - |
local.volume | 2624 | - |
local.contributor.department | Ural State University of Railway Transport, Ekaterinburg, Russian Federation | en |
local.contributor.department | Ural Federal University Named after First President of Russia B. N. Yeltsin, Ekaterinburg, Russian Federation | en |
local.identifier.pure | 51615604 | - |
local.description.order | 050012 | - |
local.identifier.eid | 2-s2.0-85182007844 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
2-s2.0-85182007844.pdf | 1,13 MB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.