Scientific review: high-speed technologies in railway transport

The article provides a thorough analysis of the latest developments in China’s high-speed rail (HSR) sector, drawing from materials presented at the 12th World Congress on High-Speed Rail in Beijing in 2025. The article examines key technological achievements, such as the development of the innovative CR450 series of trains capable of reaching speeds of up to 450 km/h, the implementation of intelligent control systems (CTCS), and the shift towards next-generation communications technology (5G-R). Particular attention is given to the industry’s digital transformation, including the use of artificial intelligence for diagnostics and forecasting, creating digital twins of infrastructure, and large-scale robotization of maintenance processes. The article analyzes the role of the Chinese Academy of Railway Sciences (CARS) as a system-forming element of the national innovation ecosystem that provides a full development cycle from fundamental research to industrial implementation. The importance of a state strategy that combines large-scale investment in research and development (R&D), the development of a testing base, and active patent protection of technologies is emphasized. This article is useful for specialists in transport engineering, railway automation, and digital technologies, as well as for transport industry management representatives interested in advanced international experience.

1. Zhou, M., Peng, Y., & An, L. (2022). Technical advances, innovation and challenges of developing high-speed rail in China. Proceedings of the Institution of Civil Engineers. https://doi.org/10.1680/jcien.21.00149

2. Feng, L., & Yu, X. (2018). A Study on the Integration Innovation Mode of China Railway High-Speed (CRH) Technology. Portland International Conference on Management of Engineering and Technology. https://doi.org/10.23919/PICMET.2018.8481875

3. Fang, X., Yang, Z., & Lin, F. (2013). Virtual Development Platform of High-Speed Train Traction Drive System in View of Top-Level Goals. Vehicle Power and Propulsion Conference. https://doi.org/10.1109/VPPC.2013.6671741

4. Hao, W. (2012). Development of the High Speed Comprehensive Inspection Train

5. Ji, P. (2023). Head shape design of Chinese 450 km/h high-speed trains based on pedigree feature parameterization. https://doi.org/10.21606/iasdr.2023.231

6. Oh, K. T., Yoo, M.-S., Jin, N., Ko, J., Seo, J., Joo, H., & Ko, M. (2022). A Review of Deep Learning Applications for Railway Safety. Applied Sciences. doi: 10.3390/app122010572

7. Liu, J., Liu, G., Wang, Y., & Zhang, W. (2024). Artificial-intelligent-powered safety and efficiency improvement for integrated railway systems. High-speed railway. doi: 10.1016/j.hspr.2024.06.006

8. Liu, J., Liu, G., Wang, Y., & Zhang, W. (2024). Artificial-intelligent-powered safety and efficiency improvement for controlling and scheduling in integrated railway systems. High-speed railway. doi: 10.1016/j.hspr.2024.06.002

9. Yan, Z., Tiantian, W., JingSong, Y., & Guoqin, Z. (2023). Development and engineering application of integrated safety monitoring system for China’s high-speed trains. Transportation safety and environment. doi: 10.1093/tse/tdad017

10. Yi, S., Kuang, J., & Liu, R. (2023). Research on Safety Risk Prediction Model of High-Speed Railway Based on Chaotic RBF Neural Network. Journal Article. doi: 10.1109/ishc61216.2023.00025

11. Zihui, Z., Tian, X., & Zhiwei, S. (2023). Deepening Research on the Comprehensive Application and Development of Railway Intelligent Detection and Monitoring System and Key Technologies. Journal Article. https://doi.org/10.1109/itoec57671.2023.10291609

12. Zheng, Song, Xu, Lei. (2020). A Fault Diagnosis Method of Bogie Axle Box Bearing Based on Spectrum Whitening Demodulation. Sensors (Basel, Switzerland). doi: 10.3390/s20247155

13. Sai, D. H. (2024). Revolutionizing Railways: An AI-Powered Approach for Enhanced Monitoring and Optimization. Journal Article. doi: 10.55041/isjem01382

14. Miao, Z., Zhang, Q., Lv, Y., Wenzhe, S., & Wang, H. (2018). An AI based High-speed Railway Automatic Train Operation System Analysis and Design. Proceedings Article. doi: 10.1109/ICIRT.2018.8641650

15. Li, X., Zhu, M., Zhang, B., Wang, X., Liu, Z. A., & Han, L. (2024). A review of artificial intelligence applications in high-speed railway systems. High-speed railway. doi: 10.1016/j.hspr.2024.01.002

16. Sai, D. H. (2024). Revolutionizing Railways: An AI-Powered Approach for Enhanced Monitoring and Optimization. Journal Article. doi: 10.55041/isjem01382

17. Zihui, Z., Tian, X., & Zhiwei, S. (2023). Deepening Research on the Comprehensive Application and Development of Railway Intelligent Detection and Monitoring System and Key Technologies. Journal Article. doi: 10.1109/itoec57671.2023.10291609

18. Hong, P. (2017). Intelligent trouble diagnosis method for high-speed rail. Patent.

19. Dubljanin, D., Marković, F., Dimić, G., Vučković, D., Petković, M., & Mosurović, L. (2024). Educational Application of Artificial Intelligence for Diagnosing the State of Railway Tracks. International Journal of Cognitive Research in Science, Engineering and Education.

20. Chien-Kuo Chiu. (2024). AI-Driven railway regulator inspection planning system: enhancing railway safety inspection prioritisation and incident management. HKIE Transactions. https://doi.org/10.33430/v31n4thie-2024-0012