It is known that one of the main factors reducing the shortage of shunting locomotives at railway stations and leading to a reduction in their employment time due to increased labor productivity is the state of equipment of the railway station infrastructure with SCB devices. This article presents a way to attract low-mobility shunting locomotives by reducing the duration of employment of shunting locomotives allocated for the daily amount of work performed at the station when equipping them with devices by changing the infrastructure of an electric decentralized railway station. A comparative analysis of the time spent by the shunting locomotive in motion during the day when performing each technological operation for the maintenance of cargo facilities, as well as the amount of time spent on additional actions, is carried out.
Various methods can be used to obtain the most reliable results in optimizing the parameters that directly affect the acceleration of the local wagon-flows at railway sites. First of all, to use these methods, it is necessary to create a multidimensional criterion for evaluating the parameters. Assessment criteria include overtime of trains at intermediate stations, excessive costs associated with the delivery of wagons, irrationality of the geographical location of freight facilities at intermediate stations, variability of hauling and carrying capacity of hauls, processing of trains at technical stations and their time of departure. Trains can take the level of execution of the movement schedule and so on. To optimally solve multidimensional assessment criteria, it is first necessary to find the best target function, which considers the opposite characteristics of all assessment criteria, “contributes” to the final result of each assessment criteria and simultaneously expressed in different units. It should be able to compare. This paper provides a systematic solution to the above issues based on the assessment criteria.
This article presents the measures and necessary recommendations to reduce the load on the stations, making efficient use of the processing capacity of the stations in the conditions of imbalanced wagon-flows. Also, analyzed the factors that influence the loading of railway stations according to their place of geographical location. Proposals have been made to reduce the level of load arising at the technical stations of the railway using the “Ishikawa” diagram.
Today, in order to ensure the safety of cargo and passenger transportation on railways, there is no procedure for keeping records on the state of railway transport infrastructures, control of industrial enterprises and organizations over the quality of repairs, conducting examinations in ensuring traffic safety and eliminating identified shortcomings. This, in turn, is one of the main factors leading to the occurrence of accidents and accidents related to rail transport. In this article, the procedure for solving the problem of introducing inspections by inspection based on the collection of points determined based on the results of monitoring of violations carried out on the basis of criteria that assess the risk levels at which there is a probability of committing by business entities engaged in railway transport activities is considered. The mathematical model of mesons for a comprehensive assessment of the state of railway transport infrastructure, presented in the regulation on the procedure for organizing and conducting a commission monthly examination of railway transport infrastructures developed in order to ensure the safety of train traffic, is created on the basis of probability theory and the laws of normal distribution. The percentage, mathematical expectation, variance and mean quadratic limitations of the probability of occurrence of the signs of an offense in each of the points intervals are clarified.
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.