| Issue |
MATEC Web Conf.
Volume 390, 2024
3rd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2023)
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|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 7 | |
| Section | Modeling and Computer Engineering, Modernization and Repair of Transport Facilities, Materials Science and Extension of the Resource of Structural Elements | |
| DOI | https://doi.org/10.1051/matecconf/202439004001 | |
| Published online | 24 January 2024 | |
The influence of random factors on the estimation of the speed and time of rolling cuts from sorting humps
1 Ukrainian State University of Science and Technology, Management of operational work department, 49010 Dnipro, Lazaryana Str., 2, Ukraine
2 Lviv Polytechnic National University, Department of transport technologies, 79013 Lviv, Bandery Str., 32, Ukraine
* Corresponding author: dmytro.kozachenko@outlook.com
The main direction of increasing efficiency and safety of the work of sorting humps is the management automation of breaking-up of trains. The difficulty of solving this problem is due to the fact that it is solved in the absence of accurate information about the running characteristics of the cars, the parameters of their routes of rolling and environmental conditions. In addition to this, car retarders implement given modes with errors. The purpose of this study is to assess the influence of various random factors on the indicators of cars rolling from the sorting humps. The research was carried out using methods of simulation modeling, planning of factorial experiments and statistical analysis. As a result, it was established that the main factors affecting the mean square deviation of the time of the cars rolling are the distance of unregulated rolling and the specified speed of the cut leaving the car retarders. The research results make it possible to improve algorithms for determining braking modes for retarders in the absence of accurate information to solve the problem.
© The Authors, published by EDP Sciences, 2024
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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