A Discrete-Space Train Movement Model for a High-Speed Train under Temporary Speed Restriction

Abstract

This paper constructs a discrete-space train movement model to evaluate the impact of a temporary speed restriction (TSR) for a high-speed railway train. The established model can demonstrate train movement under different TSR conditions. The proposed model can reveal whether a train is affected by the block section influenced by the TSR within a time duration. Moreover, the model can output detailed train trajectories and the minimal train running time between two adjacent stations to analyse the impact of the TSR. Based on the experimental results, we carry out a comprehensive analysis of the impact of several factors on the running time and train trajectories, including the length of the affected area (i.e., number of affected block sections), the location of the TSR, the limited speed value, and the stopping patterns of the train at two adjacent stations. The experiments show that the proposed discrete-space train movement model can be used to analyse the impact of the TSR on a high-speed railway train under various considered TSR conditions.

Improved Generalized Predictive Control for High-Speed Train Network Systems Based on EMD-AQPSO-LS-SVM Time Delay Prediction Model

“…If the time delay is too long, it will greatly affect the stability of the control system [3]. e network environment of HSTs is complex, and key systems such as traction and braking have obvious nonlinear characteristics [4]. In order to suppress the adverse effect of time delay on the control performance, it is necessary to test and study the real network characteristics of TCN, which realizes real-time and stable control according to the actual nonlinear characteristics of the train key control system.…”