Abstract
Timely relocation of empty cars to loading stations plays an important role in rail freight transport logistics. The purpose of the study is to determine the criteria for identifying a need for reserved station tracks while minimizing operating costs. The authors used special methods to study freight transport operations and mathematically modeled the transportation process subject to the developed technological measures, such as concentrating the car traffic at stations and yards with sufficient technical capabilities, minimizing the number of handling operations in transit, and differentiating cars according to their respective operators. As a result, the authors identified the criteria underlying the decision-making algorithm for managing rail transport operations, while minimizing costs throughout the service area.
Highlights
Technical regulation of rail transport operations is a way of managing the entire transportation process that helps to achieve optimal distribution of vehicles
A choice of transport operations management options should be based on the criteria that make it possible to minimize costs throughout the service area
If the capacity of sections is sufficient, it is reasonable to select a route with minimal operating costs: Еtr min
Summary
Technical regulation of rail transport operations is a way of managing the entire transportation process that helps to achieve optimal distribution of vehicles. In the context of the ongoing privatization of car fleets in Russia, only two criteria can be used to assess the quality of rail transport operations: speed and transit time of cars. Reliable technical standards, such as objective criteria for transport operations, contribute to the development of sustainable solutions in planning of rail transport operations. The current methods for technical regulation of quantitative and qualitative indicators have a number of shortcomings Such qualitative indicators as service speed, waiting times for transit and local cars at stations and yards, and waiting times for cars per cargo operation, are determined without taking into account their dependence on traffic volume and utilization rate of the infrastructure. This approach has a negative impact on the entire transportation process [1,2,3]
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