Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
---|---|---|
Article Number | 06002 | |
Number of page(s) | 9 | |
Section | Agri-Food Transport and Logistics Systems | |
DOI | https://doi.org/10.1051/e3sconf/202346006002 | |
Published online | 11 December 2023 |
Mathematical modeling of technological operations performed by trains at stations
1 Tashkent State Transport University, 100167 Tashkent, Uzbekistan
2 Khoja Akhmet Yassawi International Kazakh–Turkish University, 161200 Turkestan, Kazakhstan
* Corresponding author: dilmurodpgups@mail.ru
The main purpose of the work is mathematical modeling of the sequence of technological operations performed by trains at stations. Methods of systematic analysis, analytical, regression and graphic modeling, flow mapping of the sequence of technological actions were used. The methods of normalizing the time of stay of trains at stations and their advantages, the degree of interconnections and disadvantages of technological actions were studied. At the station, the time spent on the technological actions performed with the train was analyzed and the factors that negatively affect their execution were determined. In order to increase the level of execution of station performance indicators, it was recommended that the method of basic normalization of the time for performing technological actions with shunting and train locomotives depends on the length of the half-trip, the number of connecting and disconnecting wagons and the speed of the shunting. This method allows you to analyze the indicators of the time spent on technological actions at stations and the graph of train traffic (GTT), as well as increase the carrying capacity of rail transport by 7-11%.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.