Train trajectory optimisation of ATO systems for metro lines

This paper describes an Enhanced Brute Force Algorithm application to optimise train trajectory (driving speed curve) for Automatic Train Operation (ATO) systems. A multi-train simulator was developed specifically for the study. It can be used to simulate the movement of railway vehicles and calculate the detailed power system energy consumption with different train trajectories when implemented on an AC or DC powered railway line operating with multiple trains. Results are presented using a practical train trajectory and an optimal train trajectory with a full day timetable and passenger flow on the Beijing Yizhuang Metro Line. Analysis of the results shows that by using an optimal train trajectory, the energy consumption around the power network can be significantly reduced within a constrained journey time. Furthermore, the results also show that the developed simulator is able to facilitate the understanding of the railway traction and power system, and that it provides guidance for adjusting the service timetable and driving strategy to minimise energy usage.