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Authors: M. Aristombayeva 1 ; A. Duisenbayeva 1 ; K. Shubenkova 2 and V. Shepelev 3

Affiliations: 1 Department of Mathematical and Computer Modeling Computing, Kazakh-British Technical University, Tole bi Street, Almaty and Kazakhstan ; 2 Kazan Federal University, Syuyumbike prosp., Naberezhnye Chelny and Russia ; 3 South Ural State University, Chelyabinsk and Russia

Keyword(s): Railroad, Railway, Single Track, Double Track, Throughput, Carrying Capacity.

Abstract: The throughput and carrying capacity is the important characteristics of the railway lines which shows transportation opportunities. This is impossible to plan the freight traffic on the net without it. This paper introduces a simple cloud railroad simulator for cargo trains for calculating the throughput and carrying capacity. For simulation purposes the user need to fill in all necessary data in a browser, and the results will be shown on the server side. Once data has been entered into the program, the system allows to obtain a more accurate representation of reality of the railway system.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Aristombayeva, M.; Duisenbayeva, A.; Shubenkova, K. and Shepelev, V. (2019). Cloud Railroad Simulator. In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - LogiTrans 4.0; ISBN 978-989-758-374-2; ISSN 2184-495X, SciTePress, pages 659-662. DOI: 10.5220/0007876806590662

@conference{logitrans 4.019,
author={M. Aristombayeva. and A. Duisenbayeva. and K. Shubenkova. and V. Shepelev.},
title={Cloud Railroad Simulator},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - LogiTrans 4.0},
year={2019},
pages={659-662},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007876806590662},
isbn={978-989-758-374-2},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - LogiTrans 4.0
TI - Cloud Railroad Simulator
SN - 978-989-758-374-2
IS - 2184-495X
AU - Aristombayeva, M.
AU - Duisenbayeva, A.
AU - Shubenkova, K.
AU - Shepelev, V.
PY - 2019
SP - 659
EP - 662
DO - 10.5220/0007876806590662
PB - SciTePress