| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 7 | |
| Section | Agri-Food Transport and Logistics Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202346006004 | |
| Published online | 11 December 2023 | |
System of automated warning messages to creatures moving on railway tracks about the approach of rolling stock
Tashkent State Transport University, 100209 Tashkent, Uzbekistan
Incidents of train collisions with creatures on railway tracks are one of the major problems for railway transport today. The scientific article presents the results of the analysis of cases of trains hitting people and creatures on railway sections. Taking this into account, the aim of the scientific work is to develop a system of automated warning messages to creatures on railway tracks of approaching trains. In the creation of the system, the notification of the approaching trains to the creatures was selected based on the frequency of hearing of the creatures that gather a lot on the railway sections. In the article, the working algorithm of the system for notifying creatures of the noise generator of the approach of trains, as well as the types of auto-blocking systems on railway sections, to start the noise generator that transmits the message of the approach of trains, if the railway tracks are equipped with the auto-blocking system, the rail chains or the railway tracks are equipped with a semi auto-blocking system connecting the road sensors that notify when the train is approaching to the contacts of the road relays, and recommendations on the selection of frequencies for the noise generator of the train approach warning system based on the hearing frequency of the creatures that gather in large numbers around the railway sections.
© 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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