Train trajectory optimisation of ATO systems for metro lines

Research output: Chapter in Book/Report/Conference proceedingConference contribution

External organisations

  • University of Birmingham
  • Beijing Jiaotong University

Abstract

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.

Details

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Publication statusPublished - 14 Nov 2014
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014
Conference number: 17th

Conference

Conference2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
CountryChina
CityQingdao
Period8/10/1411/10/14