Method of Evaluation of the TETRA Standard Data Transmission Channel for Ensuring Information Security of the Railway Transport System
Method of Evaluation of the TETRA Standard Data Transmission Channel for Ensuring Information Security of the Railway Transport System
Author(s): Kanibek Sansyzbay, Yelena Bakhtiyarova, Teodor Iliev, Laura Tasbolatova, Daniyar SagmedinovSubject(s): Information Architecture, Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Digital channel; train performance control system; duration of batch transit; wireless communication network
Summary/Abstract: This paper analyzes the current situation of interval train control systems (railway interlocking) on the railway network of Kazakhstan, geared towards enhancing the effectiveness of railway transportation, the objective is to augment the capacity of rail lines, diminish operational expenses, minimize energy consumption, and mitigate wear on both tracks and rolling stock. To evaluate the data transmission channel of the TETRA standard, a test model with a long ping and a load test has been developed, and a two–stage test methodology has been proposed for the Zhetygen – Altynkol section. According to the results of the conducted experiments, it is proved that if the connection is lost for more than 60 seconds, the train automatically stops with an emergency braking command and, subject to the restoration of data transmission between the OBU (onboard unit) and the modem, the radio-blocking system works normally for cases with loss of communication and the board permits to move. For evaluating the influence of deploying radio communication on radio-blocking and signal strength, the Hata model within the COST231 framework was chosen. This model incorporates diverse factors contingent upon the environment, such as urban or suburban settings. The model of path loss «Loss of suburban macro-path» was chosen as a model.
Journal: TEM Journal
- Issue Year: 13/2024
- Issue No: 3
- Page Range: 2512-2521
- Page Count: 10
- Language: English