Acta Informatica Pragensia X:X | DOI: 10.18267/j.aip.302196

Towards Intelligent Communication Systems for High-Speed Railways: Themes, Challenges and Future Perspectives

Arwidya Tantri Agtusia ORCID...1, Ratna Nurmayni ORCID...1, Linda Nuryanti ORCID...1, Siti Vivi Octaviany ORCID...1, Okghi Adam Qowiy ORCID...1,2, Akhmad Sarif ORCID...2,3, Vebriyanti Hayoto ORCID...1
1 Research Center of Transportation Technology, National Research and Innovation Agency, South Tangerang, Indonesia
2 Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
3 Research Center of Structural Strength Technology, National Research and Innovation Agency, South Tangerang, Indonesia

Background: The rapid development of high-speed railway (HSR) systems requires advanced and reliable communication infrastructure to support operational safety, passenger services and intelligent transportation functions. Despite growing attention, comprehensive reviews of scientific developments in HSR communication systems remain limited.

Objective: This article seeks to explore the development, thematic landscape and prospective directions of HSR communication studies through bibliometric analysis, emphasizing the identification of core technologies, prevailing research trends and promising avenues for future investigation.

Methods: A total of 352 articles published between 2005 and 2024 were retrieved from the Scopus database to examine research development in the field. The dataset was cleaned using OpenRefine and analysed through keyword co-occurrence techniques in VOSviewer and Biblioshiny. This analysis identified thematic clusters, temporal trends and core technologies shaping the research domain.

Results: The study highlights four major research clusters: artificial intelligence (AI) and adaptive communication technologies, fifth-generation (5G) network architecture and mobility solutions, signal processing and quality of service (QoS) optimization and channel modelling with propagation characteristics. Massive multiple-input multiple-output (massive MIMO) and millimetre-wave (mmWave) technologies emerge as key enablers for addressing high-mobility challenges. Furthermore, the findings reveal a growing integration of AI, edge computing and real-time communication protocols in recent research.

Conclusion: This overview offers a macro-level perspective on the scientific landscape of HSR communication studies. The findings underscore the growing adoption of adaptive, intelligent and energy-efficient technologies, providing strategic guidance for future scholarly work and policymaking in advancing next-generation railway communication systems.

Keywords: High-speed railway; HSR; Communication systems; Bibliometric analysis; Massive MIMO; 5G communication; Artificial intelligence; AI.

Received: September 9, 2025; Revised: December 13, 2025; Accepted: January 9, 2026; Prepublished online: April 29, 2026 

Download citation

References

  1. Agheli, P., Beyranvand, H. & Emadi, M. J. (2022). High-Speed Trains Access Connectivity Through RIS-Assisted FSO Communications. Journal of Lightwave Technology, 40(21), 7084-7094. https://doi.org/10.1109/JLT.2022.3199608 Go to original source...
  2. Albano, G. & Pagliara, F. (2025). High-speed rail and socioeconomic inequality: A systematic bibliometric analysis of research trends , methodologies and thematic structures. Railway Sciences, 4(6), 783-814. https://doi.org/10.1108/RS-09-2025-0032 Go to original source...
  3. Albreem, M. A., Juntti, M. & Shahabuddin, S. (2019). Massive MIMO Detection Techniques: A Survey. IEEE Communications Surveys & Tutorials, 21(4), 3109-3132. https://doi.org/10.1109/COMST.2019.2935810 Go to original source...
  4. Amo Larbi, J., Tang, L. C. M., Amo Larbi, R., Abankwa, D. A. & Darko Danquah, R. (2024). Developing an integrated digital delivery framework and workflow guideline for construction safety management in a project delivery system. Safety Science, 175, 106486. https://doi.org/10.1016/j.ssci.2024.106486 Go to original source...
  5. Anagnostopoulos, A. (2024). High-speed railway and safety: Insights from a bibliometric approach. High-speed Railway, 2(3), 187-196. https://doi.org/10.1016/j.hspr.2024.08.004 Go to original source...
  6. Björnson, E., Larsson, E. G. & Debbah, M. (2016a). Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated? IEEE Transactions on Wireless Communications, 15(2), 1293-1308. https://doi.org/10.1109/TWC.2015.2488634 Go to original source...
  7. Björnson, E., Larsson, E. G. & Marzetta, T. L. (2016b). Massive MIMO: Ten myths and one critical question. IEEE Communications Magazine, 54(2), 114-123. https://doi.org/10.1109/MCOM.2016.7402270 Go to original source...
  8. Busari, S. A., Huq, K. M. S., Mumtaz, S., Dai, L. & Rodriguez, J. (2018). Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey. IEEE Communications Surveys & Tutorials, 20(2), 836-869. https://doi.org/10.1109/COMST.2017.2787460 Go to original source...
  9. Chen, J., Chen, H., Zhang, H. & Zhao, F. (2016). Spectral-Energy Efficiency Tradeoff in Relay-Aided Massive MIMO Cellular Networks With Pilot Contamination. IEEE Access, 4, 5234-5242. https://doi.org/10.1109/ACCESS.2016.2595258 Go to original source...
  10. Chen, X., Lu, J., Li, T., Fan, P. & Letaief, K. B. (2017). Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for High Speed Train Communication. IEEE Access, 5, 5936-5946. https://doi.org/10.1109/ACCESS.2017.2694002 Go to original source...
  11. Cheng, M., Fang, X. & Luo, W. (2012). Beamforming and positioning-assisted handover scheme for long-term evolution system in high-speed railway. IET Communications, 6(15), 2335-2340. https://doi.org/10.1049/iet-com.2011.0313 Go to original source...
  12. Cui, Y. & Fang, X. (2016). Performance Analysis of Massive Spatial Modulation MIMO in High-Speed Railway. IEEE Transactions on Vehicular Technology, 65(11), 8925-8932. https://doi.org/10.1109/TVT.2016.2518710 Go to original source...
  13. Da Fonseca-Soares, D., Galvinicio, J. D., Eliziário, S. A. & Ramos-Ridao, A. F. (2022). A Bibliometric Analysis of the Trends and Characteristics of Railway Research. Sustainability, 14(21), 13956. https://doi.org/10.3390/su142113956 Go to original source...
  14. Das, A. & Kolangiammal, S. (2017). Performance analysis of millimeter wave communication system using 256-QAM and 512-QAM techniques. In 2017 International Conference on Communication and Signal Processing, (pp. 360-364). IEEE. https://doi.org/10.1109/ICCSP.2017.8286377 Go to original source...
  15. Deng, L., Chen, Z. & Zhao, Y. (2016). Basis expansion model for channel estimation in LTE-R communication system. Digital Communications and Networks, 2(2), 92-96. https://doi.org/10.1016/j.dcan.2016.04.001 Go to original source...
  16. Ding, Q., Fu, T., Wang, S. & Luo, J. (2023). Precoding-Based Handover Scheme Design for High-Speed Railway Communication. IEEE Wireless Communications Letters, 12(2), 332-335. https://doi.org/10.1109/LWC.2022.3225954 Go to original source...
  17. Do, T. T., Bjornson, E., Larsson, E. G. & Razavizadeh, S. M. (2018). Jamming-Resistant Receivers for the Massive MIMO Uplink. IEEE Transactions on Information Forensics and Security, 13(1), 210-223. https://doi.org/10.1109/TIFS.2017.2746007 Go to original source...
  18. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070 Go to original source...
  19. Elijah, O., Leow, C. Y., Rahman, T. A., Nunoo, S. & Iliya, S. Z. (2016). A Comprehensive Survey of Pilot Contamination in Massive MIMO-5G System. IEEE Communications Surveys & Tutorials, 18(2), 905-923. https://doi.org/10.1109/COMST.2015.2504379 Go to original source...
  20. Elsawy, Y., Alatawi, A. S., Abaza, M., Moawad, A. & Aggoune, E.-H. M. (2024). Next-Generation Dual Transceiver FSO Communication System for High-Speed Trains in Neom Smart City. Photonics, 11(5), 483. https://doi.org/10.3390/photonics11050483 Go to original source...
  21. Engda, T. K., Wondie, Y. & Steinbrunn, J. (2020). Massive MIMO, mmWave and mmWave-Massive MIMO Communications: Performance Assessment with Beamforming Techniques. Research Square. https://doi.org/10.21203/rs.3.rs-69959/v1 Go to original source...
  22. Fang, Y. & Ma, J. (2023). High-speed railway transport technology. Journal of Zhejiang University-SCIENCE A, 24(3), 173-176. https://doi.org/10.1631/jzus.A230HSRT Go to original source...
  23. Feng, J., Zheng, B., You, C., Xiong, X., Tang, J., Chen, F. & Zhang, R. (2024). IRS-Aided Wireless Relaying for High-Speed Train Communication: Beamforming Design and Channel Estimation. IEEE Transactions on Wireless Communications, 23(12), 18380-18393. https://doi.org/10.1109/TWC.2024.3466555 Go to original source...
  24. Feng, Y., Wang, R., Zheng, G., Saleem, A. & Xiang, W. (2024). A 3D Non-Stationary Small-Scale Fading Model for 5G High-Speed Train Massive MIMO Channels. IEEE Transactions on Intelligent Transportation Systems, 25(11), 16490-16505. https://doi.org/10.1109/TITS.2024.3413855 Go to original source...
  25. Gao, Y., Wang, Y., Li, C., Xie, J. & Wang, M. (2023). Research on Joint Beamforming of High-Speed Railway Millimeter-wave MIMO Communication with Reconfigurable Intelligent Surface. Alexandria Engineering Journal, 74, 317-326. https://doi.org/10.1016/j.aej.2023.05.021 Go to original source...
  26. Gazali, N. & Saad, N. (2023). Bibliometric analysis of leadership and physical education based on Scopus data. International Journal of Evaluation and Research in Education, 12(3), 1174-1184. https://doi.org/10.11591/ijere.v12i3.22922 Go to original source...
  27. Guan, K., Ai, B., Peng, B., He, D., Li, G., Yang, J., Zhong, Z. & Kurner, T. (2018). Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band-Part I: Paradigm, Significance Analysis, and Scenario Reconstruction. IEEE Transactions on Vehicular Technology, 67(10), 9112-9128. https://doi.org/10.1109/TVT.2018.2865498 Go to original source...
  28. Irawan, E. N., Abdul Majid, N. W., Venica, L., Aslami, F. & Fujita, G. (2023). Analyzing the growth and trends of vertical axis wind turbine research: Insight from a bibliometric study. Journal of Mechatronics, Electrical Power, and Vehicular Technology, 14(1), 55-61. https://doi.org/10.14203/j.mev.2023.v14.55-61 Go to original source...
  29. Jia, L., Wang, L. & Qin, Y. (2022). High-Speed Railway Transportation Organization Status. In Advances in High-speed Rail Technology, (pp. 1-29). Springer. https://doi.org/10.1007/978-3-662-63033-4_1 Go to original source...
  30. Kadam, S., Bandyopadhyay, P. K. & Patil, Y. (2016). Mapping the field through bibliometric analysis of passenger centric railway transportation. International Journal of Automation and Logistics, 2(4), 349. https://doi.org/10.1504/IJAL.2016.080340 Go to original source...
  31. Ke, W., Suoping, L., Ying, L., Zufang, D. & Wei, L. (2019). Performance Analysis of High-speed Railway Handover Scheme with Different Network Architecture. In 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (pp. 1894-1898). IEEE. https://doi.org/10.1109/ITAIC.2019.8785573 Go to original source...
  32. Ko, K., Byun, I., Ahn, W. & Shin, W. (2022). High-Speed Train Positioning Using Deep Kalman Filter With 5G NR Signals. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15993-16004. https://doi.org/10.1109/TITS.2022.3146932 Go to original source...
  33. Kolesnykova, T., Matveyeva, O., Manashkin, L. & Mìshchenko, M. (2019). Railway transportation of dangerous goods: A bibliometric aspect. MATEC Web of Conferences, 294, 03014. https://doi.org/10.1051/matecconf/201929403014 Go to original source...
  34. Kunharyanto, S. A., Mayasari, R. & Oktaviana, D. (2025). Optimization in Routing and Vehicle Selection for E-commerce Last Mile Logistics: Bibliometric Analysis. Acta Informatica Pragensia, 14(1), pp. 174-190. https://doi.org/10.18267/j.aip.257 Go to original source...
  35. Larsson, E. G., Edfors, O., Tufvesson, F. & Marzetta, T. L. (2014). Massive MIMO for next generation wireless systems. IEEE Communications Magazine, 52(2), 186-195. https://doi.org/10.1109/MCOM.2014.6736761 Go to original source...
  36. Li, J., Niu, Y., Wu, H., Ai, B., Chen, S., Feng, Z., Zhong, Z. & Wang, N. (2022). Mobility Support for Millimeter Wave Communications: Opportunities and Challenges. IEEE Communications Surveys & Tutorials, 24(3), 1816-1842. https://doi.org/10.1109/COMST.2022.3176802 Go to original source...
  37. Li, Q. C., Niu, H., Papathanassiou, A. T. & Wu, G. (2014). 5G Network Capacity: Key Elements and Technologies. IEEE Vehicular Technology Magazine, 9(1), 71-78. https://doi.org/10.1109/MVT.2013.2295070 Go to original source...
  38. Li, X., Zhu, M., Zhang, B., Wang, X., Liu, Z. & Han, L. (2024). A review of artificial intelligence applications in high-speed railway systems. High-Speed Railway, 2(1), 11-16. https://doi.org/10.1016/j.hspr.2024.01.002 Go to original source...
  39. Li, Z., Chen, Y., Shi, H. & Liu, K. (2016). NDN-GSM-R: a novel high-speed railway communication system via Named Data Networking. EURASIP Journal on Wireless Communications and Networking, 2016(1), Article 48. https://doi.org/10.1186/s13638-016-0554-z Go to original source...
  40. Lin, X. (2023). Introduction. In High-Speed Railways and New Structure of Socio-economic Development in China, (pp. 3-36). Springer. https://doi.org/10.1007/978-981-19-6387-2_1 Go to original source...
  41. Ling, Z., Hu, F., Liu, T., Jia, Z. & Han, Z. (2023). Hierarchical Deep Reinforcement Learning for Self-Powered Monitoring and Communication Integrated System in High-Speed Railway Networks. IEEE Transactions on Intelligent Transportation Systems, 24(6), 6336-6349. https://doi.org/10.1109/TITS.2023.3248161 Go to original source...
  42. Liu, Y., Wang, C.-X. & Huang, J. (2019). Recent Developments and Future Challenges in Channel Measurements and Models for 5G and Beyond High-Speed Train Communication Systems. IEEE Communications Magazine, 57(9), 50-56. https://doi.org/10.1109/MCOM.001.1800987 Go to original source...
  43. Liu, Y., Wang, C.-X., Lopez, C. F., Goussetis, G., Yang, Y. & Karagiannidis, G. K. (2020). 3D Non-Stationary Wideband Tunnel Channel Models for 5G High-Speed Train Wireless Communications. IEEE Transactions on Intelligent Transportation Systems, 21(1), 259-272. https://doi.org/10.1109/TITS.2019.2890992 Go to original source...
  44. Liu, Z. & Fan, P. (2014). An Effective Handover Scheme Based on Antenna Selection in Ground-Train Distributed Antenna Systems. IEEE Transactions on Vehicular Technology, 63(7), 3342-3350. https://doi.org/10.1109/TVT.2014.2300154 Go to original source...
  45. Lu, C., Ren, Z. & Ma, C. (2023). Study on the technologies development trend of high speed EMUs. High-Speed Railway, 1(1), 1-5. https://doi.org/10.1016/j.hspr.2022.11.002 Go to original source...
  46. Lu, Y., Xiong, K., Zhao, Z., Fan, P. & Zhong, Z. (2016). Remote Antenna Unit Selection Assisted Seamless Handover for High-Speed Railway Communications with Distributed Antennas. In 2016 IEEE 83rd Vehicular Technology Conference, (pp. 1-6). IEEE. https://doi.org/10.1109/VTCSpring.2016.7504445 Go to original source...
  47. Ma, Y., Ma, G., Wang, N., Zhong, Z. & Ai, B. (2022). OTFS-TSMA for Massive Internet of Things in High-Speed Railway. IEEE Transactions on Wireless Communications, 21(1), 519-531. https://doi.org/10.1109/TWC.2021.3098033 Go to original source...
  48. Noh, G., Hui, B. & Kim, I. (2020). High Speed Train Communications in 5G: Design Elements to Mitigate the Impact of Very High Mobility. IEEE Wireless Communications, 27(6), 98-106. https://doi.org/10.1109/MWC.001.2000034 Go to original source...
  49. Oyewola, D. O. & Dada, E. G. (2022). Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer. SN Applied Sciences, 4(5), 143. https://doi.org/10.1007/s42452-022-05027-7 Go to original source...
  50. Prananto, B. H., Iskandar, & Kurniawan, A. (2023). A New Method to Improve Frequent-Handover Problem in High-Mobility Communications Using RIC and Machine Learning. IEEE Access, 11, 72281-72294. https://doi.org/10.1109/ACCESS.2023.3294990 Go to original source...
  51. Puspitasari, A. A., An, T. T., Alsharif, M. H. & Lee, B. M. (2023). Emerging Technologies for 6G Communication Networks: Machine Learning Approaches. Sensors, 23(18), 7709. https://doi.org/10.3390/s23187709 Go to original source...
  52. Qian, X., Wu, H. & Meng, J. (2013). A Dual-Antenna and Mobile Relay Station Based Handover in Distributed Antenna System for High-Speed Railway. In 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, (pp. 585-590). IEEE. https://doi.org/10.1109/IMIS.2013.103 Go to original source...
  53. Salmeno, A. P. & Zakia, I. (2024). Reliable Beam Tracking on High-Altitude Platform for Millimeter Wave High-Speed Railway. IEEE Access, 12, 71997-72012. https://doi.org/10.1109/ACCESS.2024.3403730 Go to original source...
  54. Steele, H., Blumenfeld, M. & Plummer, P. (2024). Determining future high speed rail review topics through bibliometric analysis. High-Speed Railway, 2(1), 17-29. https://doi.org/10.1016/j.hspr.2024.01.005 Go to original source...
  55. Thompson, E. A., Lu, P., Alimo, P. K., Atuobi, H. B., Akoto, E. T. & Abbew, C. K. (2025). Revolutionizing railway systems: A systematic review of digital twin technologies. High-Speed Railway, 3(3), 238-250. https://doi.org/10.1016/j.hspr.2025.05.005 Go to original source...
  56. Tian, L., Li, J., Huang, Y., Shi, J. & Zhou, J. (2012). Seamless Dual-Link Handover Scheme in Broadband Wireless Communication Systems for High-Speed Rail. IEEE Journal on Selected Areas in Communications, 30(4), 708-718. https://doi.org/10.1109/JSAC.2012.120505 Go to original source...
  57. Umar, A. M., Lazi, M. K. A. M., Hassan, S. A., Hashim, H. I. C. & Zhang, Y. (2025). A bibliometric analysis of railway safety research: Thematic evolution, current status, and future research directions. Journal of Traffic and Transportation Engineering, 12(1), 1-11. https://doi.org/10.1016/j.jtte.2024.07.001 Go to original source...
  58. Uwaechia, A. N. & Mahyuddin, N. M. (2020). A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges. IEEE Access, 8, 62367-62414. https://doi.org/10.1109/ACCESS.2020.2984204 Go to original source...
  59. Wang, C.-X., Huang, J., Wang, H., Gao, X., You, X. & Hao, Y. (2020). 6G Wireless Channel Measurements and Models: Trends and Challenges. IEEE Vehicular Technology Magazine, 15(4), 22-32. https://doi.org/10.1109/MVT.2020.3018436 Go to original source...
  60. Wang, Xiong, Kong, L., Kong, F., Qiu, F., Xia, M., Arnon, S. & Chen, G. (2018). Millimeter Wave Communication: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 20(3), 1616-1653. https://doi.org/10.1109/COMST.2018.2844322 Go to original source...
  61. Wang, Xiyu, Wang, G., Fan, R. & Ai, B. (2018). Channel Estimation With Expectation Maximization and Historical Information Based Basis Expansion Model for Wireless Communication Systems on High Speed Railways. IEEE Access, 6, 72-80. https://doi.org/10.1109/ACCESS.2017.2745708 Go to original source...
  62. Wangsa, I. D., Vanany, I. & Siswanto, N. (2022). Issues in sustainable supply chain's futuristic technologies: a bibliometric and research trend analysis. Environmental Science and Pollution Research, 29(16), 22885-22912. https://doi.org/10.1007/s11356-021-17805-8 Go to original source...
  63. Watson, I. (2021). High-Speed Railway. Encyclopedia, 1(3), 665-688. https://doi.org/10.3390/encyclopedia1030053 Go to original source...
  64. Wu, J. & Fan, P. (2016). A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions. IEEE Access, 4, 450-476. https://doi.org/10.1109/ACCESS.2016.2518085 Go to original source...
  65. Xiao, M., Mumtaz, S., Huang, Y., Dai, L., Li, Y., Matthaiou, M., Karagiannidis, G. K., Bjornson, E., Yang, K., I, C.-L. & Ghosh, A. (2017). Millimeter Wave Communications for Future Mobile Networks. IEEE Journal on Selected Areas in Communications, 35(9), 1909-1935. https://doi.org/10.1109/JSAC.2017.2719924 Go to original source...
  66. Yan, L., Fang, X. & Fang, Y. (2018). Stable Beamforming With Low Overhead for C/U-Plane Decoupled HSR Wireless Networks. IEEE Transactions on Vehicular Technology, 67(7), 6075-6086. https://doi.org/10.1109/TVT.2018.2810245 Go to original source...
  67. Yan, L., Fang, X., Hao, L. & Fang, Y. (2020). Safety-Oriented Resource Allocation for Space-Ground Integrated Cloud Networks of High-Speed Railways. IEEE Journal on Selected Areas in Communications, 38(12), 2747-2759. https://doi.org/10.1109/JSAC.2020.3005487 Go to original source...
  68. Zaib, A., Masood, M., Ali, A., Xu, W. & Al-Naffouri, T. Y. (2016). Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems. IEEE Transactions on Communications, 64(11), 4607-4621. https://doi.org/10.1109/TCOMM.2016.2593924 Go to original source...
  69. Zhang, J., Liu, H., Wu, Q., Jin, Y., Chen, Y., Ai, B., Jin, S. & Cui, T. J. (2021). RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions. IEEE Wireless Communications, 28(6), 145-151. https://doi.org/10.1109/MWC.001.2100170 Go to original source...
  70. Zhang, X., Niu, Y., Mao, S., Cai, Y., He, R., Ai, B., Zhong, Z. & Liu, Y. (2021). Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios. IEEE Transactions on Vehicular Technology, 70(5), 4823-4838. https://doi.org/10.1109/TVT.2021.3075214 Go to original source...
  71. Zhang, Z.-Y., Shang, D. & Su, S. (2026). Digital twin in railway industry: a bibliometric analysis and systematic review. Digital Twin, 3, 2533858. https://doi.org/10.1080/27525783.2025.2533858 Go to original source...
  72. Zhao, J., Liu, Y., Gong, Y., Wang, C. & Fan, L. (2018). A Dual-Link Soft Handover Scheme for C/U Plane Split Network in High-Speed Railway. IEEE Access, 6, 12473-12482. https://doi.org/10.1109/ACCESS.2018.2794770 Go to original source...
  73. Zheleznov, M. M., Karasev, O. I., Rakov, D. A. & Shitov, E. A. (2021). Assessment of Drivers and Deterrents of Development of High-Speed Passenger Railway Transportation. World of Transport and Transportation, 19(4), 102-109. https://doi.org/10.30932/1992-3252-2020-19-4-11 Go to original source...
  74. Zhou, T., Tao, C., Salous, S. & Liu, L. (2020). Geometry-Based Multi-Link Channel Modeling for High-Speed Train Communication Networks. IEEE Transactions on Intelligent Transportation Systems, 21(3), 1229-1238. https://doi.org/10.1109/TITS.2019.2905036 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.