Energy Consumption Minimization Problem in a Railway Network

When train operations are perturbed, a new working timetable needs to be computed in real-time. In the literature, several algorithms have been proposed for optimizing this computation. This optimization usually does not consider energy consumption. However, minimizing energy consumption is a central issue both from the environmental and economic perspective. In this paper, the authors address the real-time problem of minimizing the energy consumption. The energy consumption depends on driving regimes used by the train drivers. Hence, the authors focus on the decision of the appropriate driving regimes throughout each train's travel along a given infrastructure. A model and solution approach for this problem are provided. The authors show a proof of concept on the applicability of this solution approach on a simple test case.

• Record URL:
  https://doi.org/10.1016/j.trpro.2017.03.013
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146517301473
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2017 T Montrone et al. Published by Elsevier B.V.
• Authors:
  • Montrone, T
  • Pellegrini, P
  • Nobili, P
• Conference:
  • 19th EURO Working Group on Transportation Meeting "Simulation and Optimization of Traffic and Transportation Systems", EWGT 2016
  • Location: Istanbul , Turkey
  • Date: 2016-9-5 to 2016-9-7
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 85-94
• Serial:
  • Transportation Research Procedia
  • Volume: 22
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Energy consumption; Optimization; Perturbations; Real time information; Timetables; Train operations
• Subject Areas: Energy; Operations and Traffic Management; Railroads;

Filing Info

• Accession Number: 01636421
• Record Type: Publication
• Files: TRIS
• Created Date: May 17 2017 4:49PM