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 language | English |
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Title of host publication | 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2309-2314 |
Number of pages | 6 |
ISBN (Electronic) | 9781728103235 |
DOIs | |
Publication status | Published - 7 Dec 2018 |
Event | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States Duration: 4 Nov 2018 → 7 Nov 2018 |
Publication series
Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
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Volume | 2018-November |
Conference
Conference | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 |
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Country/Territory | United States |
City | Maui |
Period | 4/11/18 → 7/11/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.