The relevance of the study is determined by the fact that today at the test site of the Northern Railway, client-oriented priorities are being actively implemented and measures are being taken to attract new customers to the network, which will increase the share of highly profitable cargo and loading volumes in general, as well as the volume of cargo operations at stations.An attempt was made to propose a change in technology and increase the throughput on the Solombalka – Karpogory section from five to ten pairs of trains per day, based on an assessment of the prospective volumes of work associated with the development of stations in the region and the operating costs associated with their operation.The current state of cargo and commercial operations in the Arkhangelsk region of the Northern Railway was considered, and the prospects for the development of cargo operations were identified.The subject of research is loading stations. The object of the study is the Arkhangelsk territorial administration of the Northern Railway — a branch of JSC Russian Railways.Methods of system analysis, observation method, statistical method, forecasting and predictive modeling are applied.A feasibility study for changing technology and increasing throughput on the Arkhangelsk city – Karpogory section has been carried out. The economic efficiency of the proposal has been confirmed. The research carried out is the result of a two-year interaction with the Northern Railway. The research elements have already been introduced at the Northern Railway test site.
This paper considers methods of determining the capacity of railway lines with mixed traffic. This issue is relevant, since the calculation with the help of standard analytical formulas often does not correspond to the actual existing capacity of the railway line. In connection with this circumstance, the paper considers the method of calculating the capacity of the railway line using simulation modeling, the results of which are closer to the real values of the available capacity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.