Research on Stop-Addition Capability and Critical Distance of High-Speed Railway Trains under Speed-Up Conditions

Authors

  • YiFei Lv Central South University of Forestry and Technology, Changsha, Hunan 410000, China Author

DOI:

https://doi.org/10.63313/AERpc.9113

Keywords:

High-Speed Railway, Speed-Up, Added Stop, Time Cost, Critical Distance

Abstract

To evaluate the feasibility of adding intermediate stops to high-speed railway trains under speed-up conditions, this paper takes a 300 km/h non-stop operation as the benchmark and investigates whether the running-time margin produced by increasing the operating speed to 350 km/h or 380 km/h can compensate for the time cost of added stops. Based on the acceleration, cruising, braking and station-stop processes of high-speed trains, evaluation indices are established, including speed-up time saving, stop-addition time cost, residual time margin, maximum feasible number of added stops and critical distance. The results show that the time cost of one added stop is much larger than the loss caused by speed-reduced pass-through at small and medium stations. Under 350 km/h and 380 km/h conditions, the total time cost of one added stop is approximately 282.04 s and 295.93 s, respectively, whereas passing through one station at 0.9 times the target speed increases the running time by only about 2.53 s and 2.60 s. The calculated critical distances for adding 1-4 stops are 178.06 km, 342.59 km, 507.12 km and 671.65 km under 350 km/h, and 131.97 km, 248.90 km, 366.20 km and 483.13 km under 380 km/h. The proposed evaluation method can provide a reference for stop-addition capability assessment and critical-distance determination under high-speed railway speed-up conditions.

References

[1] National Railway Administration of the People’s Republic of China. (2014). Code for Design of High-Speed Railway: TB 10621—2014 [S]. Beijing: China Railway Publishing House. (In Chinese)

[2] Zhai, W. M. (2020). Vehicle–Track Coupled Dynamics: Theory and Applications [M]. Singapore: Springer.

[3] Jong, J. C., & Chang, S. (2005). Algorithms for generating train speed profiles [J]. Journal of the Eastern Asia Society for Transportation Studies, 6, 356–371.

[4] ang, L. X., Qi, J. G., Li, S. K., & Gao, Y. (2016). Collaborative optimization for train scheduling and train stop planning on high-speed railways [J]. Omega, 64, 57–76.

[5] Li, Y. W., Han, B. M., Yang, R. X., & Zhao, P. (2023). Integrated optimization of stop planning and timetabling for demand-responsive transport in high-speed railways [J]. Applied Sciences, 13(1), 551.

[6] Chen, D. J., Li, S. H., Li, J. J., Ni, S. Q., & Liu, X. L. (2019). Optimal high-speed railway timetable by stop schedule adjustment for energy-saving [J]. Journal of Advanced Transportation, 2019, 4213095.

[7] Dong, X., Li, D., Yin, Y., Ding, S., & Cao, Z. (2020). Integrated optimization of train stop planning and timetabling for commuter railways with an extended adaptive large neighborhood search metaheuristic approach. Transportation Research Part C: Emerging Technologies, 117, 102681.

[8] Xie, J., Wu, Q., He, S., & Chen, Y. (2021). Passenger and energy-saving oriented train timetable and stop plan synchronization optimization model. Transportation Research Part D: Transport and Environment, 98, 102975.

[9] Albrecht, A. R., Howlett, P. G., Pudney, P. J., Vu, X., & Zhou, P. (2016). The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques. Transportation Research Part B: Methodological, 94, 509–538.

Downloads

Published

2026-07-10

Issue

Section

Articles

How to Cite

Research on Stop-Addition Capability and Critical Distance of High-Speed Railway Trains under Speed-Up Conditions. (2026). Advances in Engineering Research : Possibilities and Challenges, 4(3), 22–28. https://doi.org/10.63313/AERpc.9113