Issue |
E3S Web of Conf.
Volume 401, 2023
V International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2023)
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Article Number | 02048 | |
Number of page(s) | 10 | |
Section | Ecology, Hydropower Engineering and Modeling of Physical Processes | |
DOI | https://doi.org/10.1051/e3sconf/202340102048 | |
Published online | 11 July 2023 |
Production estimate of technological operations duration in railway transport
Tashkent State Transport Universitet, Tashkent, Uzbekistan
* Corresponding author: mziyoda@mail.ru
Purpose: To stabilize the departure of trains on schedule, to do this, to justify the size of the factor of unevenness taken into account when normalizing the duration of the main technological operations with the compositions of container block trains for departure at the junction stations. Methods: From the existing automated systems, statistical data were collected and processed using MS Excel software, and the mathematical expectation, standard deviation, and dispersion of the duration of operations with the block train at the departure station were determined. The hypothesis about the normal law of distribution of the random variable of the duration of each of the main operations at the station was tested by the “chi-square” goodness-of-fit test. Results: The distribution of the random variable of the duration of operations at the station is described using the normal distribution law; a technological schedule for processing the composition of the container block train on the tracks of the railway junction station was built. Practical significance: Practical recommendations will reduce the technological norms for the processing time of a container block train on the tracks of a railway junction station. As a result, the processing time for block trains on departure on the station tracks will be reduced from 154 minutes to 132 minutes, which will save time by 22 minutes.
© 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.
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