Train trajectory optimisation of ATO systems for metro lines

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

Standard

Train trajectory optimisation of ATO systems for metro lines. / Zhao, Ning; Roberts, Clive; Hillmansen, Stuart; Western, Paul; Chen, Lei; Tian, Zhongbei; Xin, Tingyu; Su, Shuai.

2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1796-1801 6957953.

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

Harvard

Zhao, N, Roberts, C, Hillmansen, S, Western, P, Chen, L, Tian, Z, Xin, T & Su, S 2014, Train trajectory optimisation of ATO systems for metro lines. in 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014., 6957953, Institute of Electrical and Electronics Engineers (IEEE), pp. 1796-1801, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 8/10/14. https://doi.org/10.1109/ITSC.2014.6957953

APA

Zhao, N., Roberts, C., Hillmansen, S., Western, P., Chen, L., Tian, Z., Xin, T., & Su, S. (2014). Train trajectory optimisation of ATO systems for metro lines. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 1796-1801). [6957953] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ITSC.2014.6957953

Vancouver

Zhao N, Roberts C, Hillmansen S, Western P, Chen L, Tian Z et al. Train trajectory optimisation of ATO systems for metro lines. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 1796-1801. 6957953 https://doi.org/10.1109/ITSC.2014.6957953

Author

Zhao, Ning ; Roberts, Clive ; Hillmansen, Stuart ; Western, Paul ; Chen, Lei ; Tian, Zhongbei ; Xin, Tingyu ; Su, Shuai. / Train trajectory optimisation of ATO systems for metro lines. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 1796-1801

Bibtex

@inproceedings{0f427b96873d462d86c1e547cf3d80b5,
title = "Train trajectory optimisation of ATO systems for metro lines",
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.",
author = "Ning Zhao and Clive Roberts and Stuart Hillmansen and Paul Western and Lei Chen and Zhongbei Tian and Tingyu Xin and Shuai Su",
year = "2014",
month = nov,
day = "14",
doi = "10.1109/ITSC.2014.6957953",
language = "English",
isbn = "9781479960781",
pages = "1796--1801",
booktitle = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 ; Conference date: 08-10-2014 Through 11-10-2014",

}

RIS

TY - GEN

T1 - Train trajectory optimisation of ATO systems for metro lines

AU - Zhao, Ning

AU - Roberts, Clive

AU - Hillmansen, Stuart

AU - Western, Paul

AU - Chen, Lei

AU - Tian, Zhongbei

AU - Xin, Tingyu

AU - Su, Shuai

N1 - Conference code: 17th

PY - 2014/11/14

Y1 - 2014/11/14

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84937127409&partnerID=8YFLogxK

U2 - 10.1109/ITSC.2014.6957953

DO - 10.1109/ITSC.2014.6957953

M3 - Conference contribution

AN - SCOPUS:84937127409

SN - 9781479960781

SP - 1796

EP - 1801

BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Y2 - 8 October 2014 through 11 October 2014

ER -