Transmission system model in the track-vehicle relationship based on Long Term Evolution technology




rail traffic, track vehicle, safety, telecommunications, transport, control, operation


Because of degradations of the wired infrastructure connecting the element of railroad control systems, and related primarily to their destruction, the use of the radio transmission medium for independent management of railroad traffic control devices is increasingly being considered. An undoubted problem in implying such solutions is the security of transmission in such systems. It should be noted that security at a certain level of transmission is currently already offered by the radio transmission systems themselves, which has also been used in the GSM-R standard. The creation of a separate dedicated system for railroads involves huge expenditures for the design, testing, certification and, finally, construction and implementation of such technology. Therefore, in the opinion of the author of this dissertation, it is possible to use public open radio networks for the needs of railroads, which significantly reduces costs, since such a system is based on existing infrastructure. It is necessary to develop a way of transmitting information that meets the requirements of secure transmission in the sense of railroad traffic control systems. The task is to develop a general model for open radio transmission in traffic control systems based on the latest public radio standard, which is LTE, 5G or Future Railway Mobile Communications System (FRMCS). The article will present the concept of data transmission in the track–vehicle relationship with the use of LTE (Long Term Evolution) technology. It will show the concept of transmission based on the PN EN50159:2011 standard and the results of the tests conducted during control trips on the railway route. The main element that will be subject to the research will include the transmission safety and its delay. The impact of a type of transmission encryption on its delay will be estimated with the assumed blocks of data sent during the transmission. A probability distribution and density functions of the transmission delay probability distribution with the message sizes in the range from 16B to 10 kB with four ways of the signal encoding according to the PN-EN50159:2011 standard will be also analysed.


Alemayehu, B., Gared, F., (2019). Inter cell interference modeling and analysis in long term evolution (LTE). Ethiop. J. Sci. Technol. 2019, 12, 107-123.

Białoń, A., Gradowski, P., (2009). ERTMS European Rail Traffic Management System – part I. Transports Infrastructure, 4/2009, 14-17.

Białoń, A., Gradowski, P., (2007). Rail traffic management system (ERTMS). Telecommunications and Traffic Control, 1/2007, 2-11.

Bocanegra, C., Alemdar, K., Garcia, S., Singhal, Ch., and Kaushik, R., Chowdhury., (2019). NetBeam: Networked and Distributed 3-D Beamforming for Multi-user Heterogeneous Traffic. In 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 1-10.

Changqing, L., Hao, L., Hongli, Z., Shuo, W., Yong Z., (2020). LTE-U based Train to Train Communication System in CBTC: System Design and Reliability Analysis. Wireless Communications and Mobile Computing. DOI: 10.1155/2020/8893631.

Chrzan, M., (2021). Study of the possibility of using transmission in the LTE system on a selected railway line for the purpose of running railway traffic. Archives of Transport, 57(1), 91-101. DOI:10.5604/01.3001.0015.8150.

Chrzan, M., (2020). The Assessment of the Possibility of Using Open Systems of Radio Transmission for the Purposes of Railway Transport. ICTE in Transportation and Logistics 2019, Springer Nature Switzerland 2020, 271-278.

Chrzan, M., Kornaszewski, M., Ciszewski, T., (2018). Renovation of Marine Telematics Objects in the Process of Exploitation” In: Communications in Computer and Information Science, Springer 2018, 45-56.

Gago, S., Siergiejczyk, M., (2020). Premises for Developing an IT Network Design for Railway Transport in Poland. Advances in Intelligent Systems and Computing, 1032, 115-123. DOI: 10.1007/978-3-030-27687-4_12.

Garcia, J., Sundberg, S., Brunstrom, A., (2019). LTE for Trains - Performance Interactions Examined with DL, ML and Resampling. Conference: International Workshop on Machine Learning for Wireless Communications. Barcelona, Spain. DOI: 10.1109/ISCC47284.2019. 8969727.

Jacyna, M., Szczepański, E., Izdebski, M., Jasiński, S., Maciejewski, M., (2018). Characteristics of event recorders in automatic train control systems. Archives of Transport, 46(2), 61-70.

Jian, L., (2019). Research on the new generation urban rail transit signal system. Urban Rail Transit Research, 22(7), 71-74.

Karthika, S., Indumathi, P., (2020). Analysis of Dynamic Frequency Reuse Techniques in LTE-A Cellular Network. In IOP Conference Series: Materials Science and Engineering; IOP Publishing: Bristol, UK, 2020; 994, 012034.

Kornaszewski, M., Chrzan, M., Olczykowski, Z., (2017). Implementation of New Solutions of Intelligent Transport Systems in Railway Transport in Poland. In. J. Mikulski (Eds.), Smart Solutions in Today’s Transport. TST 2017. Communications in Computer and Information Science, Cham Springer, 715, 282-290.

Kukulski, J., Gołębiowski, P., Pyza, D., Jachimowski, R., Wychowański, W., (2019). Selected aspects of the selection of data sent to the vehicle in automatic rail vehicle driving systems. Scientific Journal of Silesian University of Technology. Series Transport, 103, 43-52.

Kunai, B., (2019). Research on Wireless Re source and Mobility Management of LTE-U System in Urban Rail Transit. Beijing Jiaotong University.

Pawlik, M.; Siergiejczyk, M.; Gago, S., (2017). European rail transport management system mobile transmission safety analysis. In Risk, Reliability and Safety: Innovating Theory and Practice; Walls, L., Revie, M., Bedford, T., Eds.; CRC Press: London, UK, 2017; 1791-1794.

Rogowski, A., (2012). Fundamentals of probabilistic methods in transport. Monography. Kazimierz Pulaski University of Technology and Humanities in Radom.

Rosberg, T., Cavalcanti, T., Thorslund, B., Prytz, E., & Moertl, P., (2021). Driveability analysis of the European rail transport management system (ERTMS). Journal of Rail Transport Planning and Management, 18.

Shirly, E., Malarvizhi, S., (2020).Architectural implementation of modified K-best algorithm for detection in MIMO systems. Mikroprocessors and Microsystems, 74. DOI: 10.1016/j.micpro.2020.103010.

Siergiejczyk, M., Rosiński A., (2019). Analysis of information transmission security in the digital railway radio communication system. Contemporary Complex Systems and Their Dependability. Proceedings of the Thirteenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX / Zamojski Wojciech [et al.] (Eds.), Advances in Intelligent Systems and Computing, 761, 420-429.

Toruń, A., Sokołowska, L., Jacyna, M., (2019). Communications-based train control system - Concept based on WiFi LAN network. Transport Means - Proceedings of the 23-rd International Conference. Kaunas University of Technology. 911 -915.

Wu, Y., McAllister, J., (2017). Bounded Selec tive Spanning With Extended Fast Enumera tion for MIMO-OFDM Systems Detection. IEEE Trans. Circ. Syst. 64 (9)(2017) 2556-2568.

PN-EN 50129:2011. (n.d.). PN-EN 50129:2011 - Railway Applications Communication, Signalling and Processing Systems Safety.

3GPP Specifications, TS 36-series, Release 99 and later. (2020). http://www.3g org/specifications/specification-numbering.






Original articles

How to Cite

Chrzan, M., Pirosz, P., & Paś, J. (2023). Transmission system model in the track-vehicle relationship based on Long Term Evolution technology. Archives of Transport, 66(2), 89-108.


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