MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||7|
|Section||Interoperability, Safety and Certification on Transport|
|Published online||16 October 2019|
Mathematical modelling of the communication channel between the rail circuit and the inputs devices of automatic locomotive signalization
Dnipro National University of Railway Transport named after Academician V. Lazaryan, Department «Automatics and Telecommunications», 49010 Dnipro, Lazaryan street 2, Ukraine
2 Dnipro National University of Railway Transport named after Academican V. Lazaryan, Department «Transport junctions», 49010 Dnipro, Lazaryan street 2, Ukraine
* Corresponding author: email@example.com
In modern practice of operating under traffic safety conditions, the traffic light signal must be transmitted to the locomotive that moves to it, and duplicate in the driver’s cab. However, this communication channel is not protected from external interference. In order to prevent the occurrence of code failure, it is necessary to create conditions under which the automatic locomotive signalling system will distinguish between signals with useful information, from signals with false information. The best way to solve this problem at the first stage is to model the devices. Using the simulation tools of graphical environment of simulation modelling Simulink from Matlab software environment, the software model of the communication channel between the railroad and the input devices of automatic locomotive signalling system was constructed. The created mathematical model with the actual parameters allows us to obtain diagnostic signs of a proper condition, on the basis of which the research is aimed at the identification, recognition and definition of various types of malfunctions, failure, damages and defects in the work of the constituent elements of the system and the signal transmission channel of the automatic locomotive signalling system.
© The Authors, published by EDP Sciences, 2019
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.