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dc.creatorLazarević, Luka
dc.creatorKovačević, Miloš
dc.creatorPopović, Zdenka
dc.date.accessioned2019-04-30T13:20:58Z
dc.date.available2019-04-30T13:20:58Z
dc.date.issued2014
dc.identifier.isbn978-86-6055-060-8
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/1171
dc.description.abstractThe rail system, as a system with high capacity, the least air and water pollution, solvable noise and vibration emission problem and the least space usage, is competitive with other modes of transportation. In addition, European transport policy supports shift from road to rail and waterborne transport. It is expected that changes in rail traffic volume be followed by changes in certain economic parameters. On the other hand, changes in economy influence rail traffic volume. The aim of this paper is creation of the data driven models for prediction of rail traffic volume in different economic contexts, using world development indicators, defined by the World Bank, as input parameters.en
dc.publisherFaculty of Mechanical Engineering, Niš
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36012/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceProceedings / XVI Scientific-Expert Conference on Railways - RAILCON 14, October 09-10, 2014, Nišen
dc.titleData driven model for prediction of rail trafficen
dc.typeconferenceObject
dc.rights.licenseBY-NC-ND
dc.citation.epage184
dc.citation.other: 181-184
dc.citation.spage181
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs//bitstream/id/3377/1169.pdf
dc.identifier.rcubconv_4204
dc.type.versionpublishedVersion


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