Railway Traffic Monitoring System by Seismic Methods

Main Article Content

Alexey O. Kovalenko
Artem A. Bykov
Oleg R. Kuzichkin


This article describes a system for monitoring the movement of railway transport based on seismic methods. The current state and existing problems in the railway monitoring industry are briefly presented. It is proposed to use seismic signals in soils formed by passing trains in order to highlight information features and assess the characteristics of railway transport. These signals carry a large amount of useful information and can be used with proper processing and analysis. The characteristics of these signals are considered depending on the characteristics of rolling stock, such as speed and weight, and on a number of other external factors: the composition and condition of soils, the presence of rail joints and irregularities. An algorithm for processing seismic signals in order to distinguish the characteristics
of railway transport is described. In the final section, a diagram and a block of data collection are presented, as well as a brief description and features of the application of the developed monitoring system. This system will allow to accelerate the implementation of large-scale monitoring of the movement of railway transport, as well as to increase its efficiency and functionality, due to simpler and more inexpensive solutions.

Article Details

How to Cite
Alexey O. Kovalenko, Artem A. Bykov, & Oleg R. Kuzichkin. (2020). Railway Traffic Monitoring System by Seismic Methods. Helix, 10(05), 218-224. Retrieved from https://helixscientific.pub/index.php/home/article/view/248