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GU, Xuejing, LI, Dewei, QIN, Lu, “Spatial Structural Characteristics of Chinese Railway Passenger Network Based on Complex Network Theory,” National Conference on Information Technology and Computer Science (CITCS 2012), Published by Atlantis Press, 750-753.

has been cited by the following article:

Article

Investigation into Train Flow System on Ukraine’s Railways with Methods of Complex Network Analysis

1Ukrainian State Academy of Railway Transport, Operational Work Management Department, Kharkov, Ukraine


American Journal of Industrial Engineering. 2013, Vol. 1 No. 3, 41-45
DOI: 10.12691/ajie-1-3-1
Copyright © 2013 Science and Education Publishing

Cite this paper:
Tatyana But’ko, Andrii Prokhorchenko. Investigation into Train Flow System on Ukraine’s Railways with Methods of Complex Network Analysis. American Journal of Industrial Engineering. 2013; 1(3):41-45. doi: 10.12691/ajie-1-3-1.

Correspondence to: Andrii  Prokhorchenko, Ukrainian State Academy of Railway Transport, Operational Work Management Department, Kharkov, Ukraine. Email: railwayhub@yandex.ua

Abstract

The article deals with an improved analysis of the train flow system in Ukraine’s railway network. The main objective of the investigation is to reveal the peculiarities of the car flow destination system and to apply up-to-date knowledge for higher efficiency of railway transport. To solve the scientific problem the methods of complex network analysis have been used, thereby determining the basic statistic factors of the network topology. It has been proved that the destination network of ’s train formation plan is characterized by scale invariance. The revealed peculiarities of assortative mixing have made the understanding of the system’s processes simpler. The results obtained can be applied in analysis of the transportation system survivability of ’s railway network.

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