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An energy-efficient rescheduling approach under delay perturbations for metro systems

An energy-efficient rescheduling approach under delay perturbations for metro systems Due to the increasing energy prices and environmental issues, energy conservation for metro trains has become an important research topic in recent years. The static timetable optimization approach can reduce the trains’ energy consumption to a certain degree by scheduling multiple trains’ movements. However, this optimization approach is prone to fail when one or some trains are delayed at stations. This paper develops an energy-efficient rescheduling approach under delay perturbations for metro trains, which aims to minimize the net energy consumption under the premise of reducing or eliminating the delay altogether. Firstly, we provide an illustrative example to describe the rescheduling problem. Furthermore, we formulate an integer programming model and design an allocation algorithm to obtain the optimal schedule. Finally, a numerical example based on the Beijing Metro Yizhuang Line shows that the developed approach can reduce the net energy consumption by 8.19% in comparison with the traditional rescheduling approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportmetrica B: Transport Dynamics Taylor & Francis

An energy-efficient rescheduling approach under delay perturbations for metro systems

An energy-efficient rescheduling approach under delay perturbations for metro systems

Transportmetrica B: Transport Dynamics , Volume 7 (1): 15 – Dec 23, 2019

Abstract

Due to the increasing energy prices and environmental issues, energy conservation for metro trains has become an important research topic in recent years. The static timetable optimization approach can reduce the trains’ energy consumption to a certain degree by scheduling multiple trains’ movements. However, this optimization approach is prone to fail when one or some trains are delayed at stations. This paper develops an energy-efficient rescheduling approach under delay perturbations for metro trains, which aims to minimize the net energy consumption under the premise of reducing or eliminating the delay altogether. Firstly, we provide an illustrative example to describe the rescheduling problem. Furthermore, we formulate an integer programming model and design an allocation algorithm to obtain the optimal schedule. Finally, a numerical example based on the Beijing Metro Yizhuang Line shows that the developed approach can reduce the net energy consumption by 8.19% in comparison with the traditional rescheduling approach.

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References (26)

Publisher
Taylor & Francis
Copyright
© 2018 Hong Kong Society for Transportation Studies Limited
ISSN
2168-0582
eISSN
2168-0566
DOI
10.1080/21680566.2017.1421109
Publisher site
See Article on Publisher Site

Abstract

Due to the increasing energy prices and environmental issues, energy conservation for metro trains has become an important research topic in recent years. The static timetable optimization approach can reduce the trains’ energy consumption to a certain degree by scheduling multiple trains’ movements. However, this optimization approach is prone to fail when one or some trains are delayed at stations. This paper develops an energy-efficient rescheduling approach under delay perturbations for metro trains, which aims to minimize the net energy consumption under the premise of reducing or eliminating the delay altogether. Firstly, we provide an illustrative example to describe the rescheduling problem. Furthermore, we formulate an integer programming model and design an allocation algorithm to obtain the optimal schedule. Finally, a numerical example based on the Beijing Metro Yizhuang Line shows that the developed approach can reduce the net energy consumption by 8.19% in comparison with the traditional rescheduling approach.

Journal

Transportmetrica B: Transport DynamicsTaylor & Francis

Published: Dec 23, 2019

Keywords: Metro trains; rescheduling approach; regenerative braking; energy consumption

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