Research on Optimization of High-Speed Railway Train Control System Based on Dynamic Interval

DOI: https://doi.org/10.62517/jcte.202606114

Author(s)

Yiwei Xi1, Lei Pu2, Yang Meng1, Yue Xu1

Affiliation(s)

1Communication and Signal Design Research Institute of China Railway Second Survey and Design Institute Engineering Group Co., Ltd., China 2Guangdong Railway Co., Ltd., Huizhou Electrical Engineering Section, China

Abstract

To enhance the capacity of busy high-speed railway trunk lines, this paper proposes a train tracking interval optimization method based on dynamic safety interval calculation and model predictive control (MPC) under the CTCS-3 level train control system framework. First, a comprehensive dynamics model of high-speed trains is established, accounting for nonlinear characteristics of air resistance and stochastic communication delays, and an analytical expression for dynamic safety intervals is derived. Second, an MPC speed optimizer is designed with multiple objectives including energy consumption, comfort, and tracking stability, achieving dynamic optimization of train operation curves while ensuring safety. Simulation results based on MATLAB/Simulink demonstrate that under 350 km/h operating conditions, the proposed method reduces the theoretical minimum tracking interval from 4 minutes to approximately 3 minutes and 15 seconds, increasing line capacity by about 11%, while reducing traction energy consumption by over 8% and improving passenger comfort by approximately 24%. This study provides theoretical foundations and technical references for software upgrades of high-speed rail train control systems.

Keywords

High-Speed Railway; CTCS-3; Dynamic Interval; Model Predictive Control; Tracking Interval

References

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