Timetable Optimization for Utilization of Regenerative Braking Energy: A Single Line Case over Istanbul Metro Network

Ibrahim Ethem Demirci, Hilmi Berk Celikoglu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

Energy costs still have a large proportion in operational expenses in metro lines, even though metro is the least energy-consuming mode of transport. Recently, researchers have shown an increased interest in the utilization of regenerative braking energy (RBE) to reduce the energy consumption: synchronizing the accelerating and braking trains is one of the more practical ways of the utilization of RBE. In this paper, a timetable optimization model is proposed to pair the accelerating and breaking trains in the operation to enhance the utilization of RBE. The main objective of the model proposed is to provide maximum total overlapping time between breaking and accelerating periods of trains by adjusting the timetable. In comparison with the existing methods, the proposed timetable optimization model requires less modeling information and calculates more train in cooperation. A case study over Istanbul Metro M4 line is studied employing a Genetic Algorithm to real operating data. The simulation results confirm the effectiveness of the proposed method that the total overlapping time has increased to a considerable extent in different headway scenarios.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2309-2314
Number of pages6
ISBN (Electronic)9781728103235
DOIs
Publication statusPublished - 7 Dec 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period4/11/187/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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