Information and Computing System for Planning of Management of Railway Stations of Industrial Enterprises

DOI

10.2991/csis-18.2019.51How to use a DOI?

Keywords

traffic optimization at railway stations of industrial enterprises

Abstract

The article deals with the problem of constructing a mathematical model for the optimal organization of information management when planning shunting work at railway stations owned by enterprises. Analysis of the known solutions of this problem showed that the main directions in which optimization should be performed are: taking into account the radii and curvature of the railroad rails on certain sections; accounting for the dependence of fuel consumption by shunting locomotives when performing shunting movements in one direction, in the presence of time reserves; the choice of the route of the train depending on its length, the required number of transfers of arrows, given speed limits, on certain sections of the railway, and a given time of movement of the train. The place of the system for collecting, storing and processing information about the indicators describing the results of shunting control in the general structure of the information system is shown. In the mathematical model on the basis of which a specialized information and computing system is created, all elements and factors affecting the main indicators of its economic efficiency are taken into account.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tatyana Nechai
AU  - Gennady Korop
AU  - Vladimir Roganov
AU  - Elvira Roganova
AU  - Marina Chirkina
PY  - 2019/02
DA  - 2019/02
TI  - Information and Computing System for Planning of Management of Railway Stations of Industrial Enterprises
BT  - Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018)
PB  - Atlantis Press
SP  - 246
EP  - 251
SN  - 2352-5398
UR  - https://doi.org/10.2991/csis-18.2019.51
DO  - 10.2991/csis-18.2019.51
ID  - Nechai2019/02
ER  -