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Capacity and Traffic Management on a Heavy-Traffic Railway Line

  • Viktor ZubkovEmail author
  • Ekaterina Ryazanova
  • Evgenia Chebotareva
  • Maxim Bakalov
  • Alexey Gordienko
Conference paper
  • 29 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

In connection with the development of international trade relations with the countries of Western Europe and East Asia, carried out through the developing ports of the Azov-black sea basin, a significant increase in the volume of export cargo in the southern region of Russia. The purpose of the study is to master the growing volume of traffic and achieve efficiency in operational work. The tasks of research aimed at the development of ways to increase the capacity of a heavy-traffic line are defined. In this regard, the analysis of capacity is made using the example of the heavy-traffic railway line Kotelnikovo-Tikhoretskaya-9 km Passing Track of the North Caucasus railway, through which the supply of the largest volume of demanded export cargo to the ports of the basin is made. The bottlenecks in the operational work of the railway and ports of the Azov-Black sea basin are identified. Promising volumes of export traffic to its ports, the available and the required capacities of the sections under consideration are identified. Technical and technological measures aimed at improving the quality of operational activities that contribute to the development of export traffic growth are proposed. For solving the problems, the method of capacity calculation is used, as a result of which options for increasing it at the heavy-traffic section were offered, and the best option was chosen that ensures high reliability of transportation, timely delivery and unloading of cargo.

Keywords

Railway transport Capacity Traffic management Railway line Heavy-Traffic Freight transportation Freight market Transport infrastructure 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Rostov State Transport UniversityRostov-on-DonRussia

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