Applied Research on Remote-Controlled Signaling Systems with Mobile Communication Integration
DOI:
https://doi.org/10.52171/herald.401Keywords:
Remotely optimized systems, Mobile communication, 5G, MQTT, SCADAAbstract
The article investigates the application, architecture, and optimization of remote-controlled signalling systems (RCSS) in modern infrastructure. The study summarizes the role of advanced communication technologies, including RF, fiber optics, IoT protocols, and satellite systems, in the development of RCSS. The applications of these systems in railway transportation, urban traffic management, and industrial automation are comprehensively analyzed. The methods and technologies such as SCADA, PLC, CBTC, and adaptive traffic control systems are examined in terms of their functional capabilities. Additionally, the study highlights the contribution of RCSS to enhancing safety, reducing human involvement in hazardous environments, and enabling predictive maintenance. The current state of RCSS implementation in Azerbaijan is evaluated through case studies in the Baku Metro, energy, and transport sectors. The article also demonstrates the practical advantages, existing challenges, and future potential of RCSS in a regional context through case studies involving institutions such as AzerEnergy and Azersu. As a result, it is concluded that the application of RCSS enables the development of reliable, flexible, and real-time intelligent infrastructure systems.
References
1. Roberts, C., & Jafari, M. (2012). Safety and reliability of railway signalling and control systems. Springer.
2. Zhou, J., Li, Y., & Tang, T. (2017). Communication-Based Train Control (CBTC) systems: A review and classification of core technologies. IEEE Transactions on Intelligent Transportation Systems, 18(2), 299–311.
3. Albino, V., Berardi, N., & Dangelico, R.M. (2015). Smart Cities and the challenge of Industry 4.0: Challenges and opportunities for a sustainable future. Technological Forecasting and Social Change, 149, 119762.
4. Gao, S., Zhang, J., & Li, H. (2018). Design and analysis of a SCADA system for industrial remote monitoring and control. Journal of Network and Computer Applications, 116, 1–9.
5. Huang, P., Wang, H., & Fan, X. (2020). Cybersecurity analysis of SCADA systems in smart infrastructure: Threats and countermeasures. Journal of Critical Infrastructure Protection, 31, 100492.
6. Popov, V., & Varlamov, O. (2019). PLC-based safety systems in automated control: Review and case study. Automation and Remote Control, 80(5), 805–821.
7. Mekki, K., Bajic, E., Chéhri, F., & Fortier, P. (2019). A survey on ultra-low power wide area technologies for IoT environments. IEEE Communications Surveys & Tutorials, 21(4), 3316–3335.
8. Mirchandani, P., & Soroush, H.M. (2019). Intelligent Transportation Systems: Foundations and future directions. Springer.
9. Osseiran, A., Monserrat, J.F., & Manzalini, A. (2014). 5G mobile and wireless communications technology. Cambridge University Press.
10. Stanford-Zhang, Z., & Chen, G. (2020). MQTT protocol: A lightweight messaging system for real-time IoT applications. Journal of Sensors, 2020.
11. Akkermans, E., Tielman, A., & Polderman, H. (2015). Performance evaluation of the European Train Control System (ETCS) and its impact on railway capacity. Transportation Research Part C: Emerging Technologies, 59, 162–178.
12. Stevanovic, A., Kergaye, C., & Zhang, Y. (2016). A critical review of adaptive traffic control strategies. European Journal of Transport and Infrastructure Research, 16(1), 1–26.
13. Jardine, A.K., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–1510.
14. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.
15. Nasirov, E.E. (2026). AI-Powered Digital Twins for Enhancing Strategic Decision-Making in Smart Manufacturing Systems. Herald of the Azerbaijan Engineering Academy, 18(1), 114–120. https://doi.org/10.52171/herald.277
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 A.H. Dadashova, G.V. Aliyeva
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
