The application of an enhanced Brute Force algorithm to minimise energy costs and train delays for differing railway train control systems

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@article{c30f91697394475c9b0341bc6071ea91,
title = "The application of an enhanced Brute Force algorithm to minimise energy costs and train delays for differing railway train control systems",
abstract = "This paper demonstrates an enhanced Brute Force algorithm application for optimising the driving speed curve by trading off reductions in energy usage against increases in delay penalty. A simulator is used to compare the train operation performance with different train control system configurations when implemented on a section of high-speed line operating with two trains, including differences in journey time and train energy consumption. Results are presented using six different train control system configurations combined with three different operating priorities. Analysis of the results shows that the operation performance can be improved by eliminating the interactions between trains using advanced control systems or optimal operating priorities. The algorithm is shown to achieve the objectives efficiently and accurately. Control system configurations with intermediate levels of complexity (e.g. European Train Control System Levels 2 and 1 with in-fill) when coupled with the optimisation process have been shown to have similar performance to the more advanced control system.",
keywords = "brute force, energy consumption, multi-train simulator, Optimal train control system, train delay",
author = "Ning Zhao and Clive Roberts and Stuart Hillmansen",
year = "2014",
month = feb,
day = "1",
doi = "10.1177/0954409712468231",
language = "English",
volume = "228",
pages = "158--168",
journal = "Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit",
issn = "0954-4097",
publisher = "SAGE Publications",
number = "2",

}

RIS

TY - JOUR

T1 - The application of an enhanced Brute Force algorithm to minimise energy costs and train delays for differing railway train control systems

AU - Zhao, Ning

AU - Roberts, Clive

AU - Hillmansen, Stuart

PY - 2014/2/1

Y1 - 2014/2/1

N2 - This paper demonstrates an enhanced Brute Force algorithm application for optimising the driving speed curve by trading off reductions in energy usage against increases in delay penalty. A simulator is used to compare the train operation performance with different train control system configurations when implemented on a section of high-speed line operating with two trains, including differences in journey time and train energy consumption. Results are presented using six different train control system configurations combined with three different operating priorities. Analysis of the results shows that the operation performance can be improved by eliminating the interactions between trains using advanced control systems or optimal operating priorities. The algorithm is shown to achieve the objectives efficiently and accurately. Control system configurations with intermediate levels of complexity (e.g. European Train Control System Levels 2 and 1 with in-fill) when coupled with the optimisation process have been shown to have similar performance to the more advanced control system.

AB - This paper demonstrates an enhanced Brute Force algorithm application for optimising the driving speed curve by trading off reductions in energy usage against increases in delay penalty. A simulator is used to compare the train operation performance with different train control system configurations when implemented on a section of high-speed line operating with two trains, including differences in journey time and train energy consumption. Results are presented using six different train control system configurations combined with three different operating priorities. Analysis of the results shows that the operation performance can be improved by eliminating the interactions between trains using advanced control systems or optimal operating priorities. The algorithm is shown to achieve the objectives efficiently and accurately. Control system configurations with intermediate levels of complexity (e.g. European Train Control System Levels 2 and 1 with in-fill) when coupled with the optimisation process have been shown to have similar performance to the more advanced control system.

KW - brute force

KW - energy consumption

KW - multi-train simulator

KW - Optimal train control system

KW - train delay

UR - http://www.scopus.com/inward/record.url?scp=84892575792&partnerID=8YFLogxK

U2 - 10.1177/0954409712468231

DO - 10.1177/0954409712468231

M3 - Article

AN - SCOPUS:84892575792

VL - 228

SP - 158

EP - 168

JO - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

JF - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

SN - 0954-4097

IS - 2

ER -