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February 5, 20260 citations

Algorithm for the calculation of the load capacity of the equipment of reverse traction networks

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EVElena VinnikovaPSPavel SmolinAPAlexander Viktorovich Paranin

Key Points

  • To develop a software module for calculating load capacity of reverse traction rail network devices.
  • Developed a software module integrated into fuel and energy resource planning system.
  • Employed a two-stage approach: constructing an instantaneous substitution scheme and calculating load capacity.
  • Conducted multi-variant calculations for various traffic schedules.
  • Provided insights on load capacity under different operational conditions.
  • Enabled more informed decision-making regarding technical solutions.
  • Potentially reduced operating costs and optimized infrastructure investments.

Abstract

The rapid expansion of freight traffic on Russia’s Eastern polygon has necessitated significant infrastructure upgrades by JSCO "RZD". This paper presents a novel software module developed by JSC “VNIIZHT” for analyzing the load capacity of reverse traction rail network devices. Integrated into the System for planning, rationing and analyzing the use of fuel and energy resources for train traction, this module addresses a critical gap in the company’s technological capabilities. The software employs a two-stage approach: first, constructing and calculating an instantaneous substitution scheme of the design section, and second, determining the load capacity of reverse traction rail network devices based on specified traffic schedules. This innovative tool enables multi-variant calculations, allowing specialists to make informed decisions on technical solutions, potentially reducing operating costs and optimizing infrastructure investments. The module’s outputs provide valuable insights into the capacity of reverse traction rail network devices under various operational conditions, contributing to more efficient and cost-effective railroad electrification systems.

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Cite This Study

Vinnikova et al. (2025) studied this question.

synapsesocial.com/papers/698434ebf1d9ada3c1fb3a47https://doi.org/10.1051/e3sconf/202562704014/pdf
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