Optimal Driving Profiles in Railway Systems based on Data Envelopment Analysis

Achilleas Achilleos, Markos Anastasopoulos, Anna Tzanakaki, Marius Iordache, Olivier Langlois, Jean-Francois Pheulpin, Dimitra Simeonidou

Abstract

The present study focuses on the development of a dynamically re-configurable Information Communication Technology (ICT) infrastructure to support the sustainable development of railway network. Once data have been collected, the extracted knowledge is used to develop a set of applications that can improve the energy efficient operation of railway systems. A typical example includes the identification of the optimal driving profiles in terms of energy consumption. In the present study, this is achieved through the adoption of an optimization framework based on Data Envelopment Analysis (DEA). The performance of the proposed scheme is evaluated based on actual data collected at an operation tramway system. Preliminary results illustrate that when the proposed method is applied, a 10% reduction in the overall power consumption can be achieved.

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Paper Citation


in Harvard Style

Achilleos A., Anastasopoulos M., Tzanakaki A., Iordache M., Langlois O., Pheulpin J. and Simeonidou D. (2019). Optimal Driving Profiles in Railway Systems based on Data Envelopment Analysis.In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-374-2, pages 254-259. DOI: 10.5220/0007878002540259


in Bibtex Style

@conference{vehits19,
author={Achilleas Achilleos and Markos Anastasopoulos and Anna Tzanakaki and Marius Iordache and Olivier Langlois and Jean-Francois Pheulpin and Dimitra Simeonidou},
title={Optimal Driving Profiles in Railway Systems based on Data Envelopment Analysis},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2019},
pages={254-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007878002540259},
isbn={978-989-758-374-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Optimal Driving Profiles in Railway Systems based on Data Envelopment Analysis
SN - 978-989-758-374-2
AU - Achilleos A.
AU - Anastasopoulos M.
AU - Tzanakaki A.
AU - Iordache M.
AU - Langlois O.
AU - Pheulpin J.
AU - Simeonidou D.
PY - 2019
SP - 254
EP - 259
DO - 10.5220/0007878002540259