Energy‐efficient train timetabling for a medium‐speed maglev line considering propulsion and suspension energy consumption

Author:

Lai Qingying1ORCID,Liu Jun2ORCID,Guo Shudong3,Shi Xianliang1,Zhao Chen3,Ju Miaoyu1

Affiliation:

1. Beijing Jiaotong University Beijing China

2. Beijing Wuzi University Beijing China

3. China Railway Economic and Planning Research Institute Co., Ltd. Beijing China

Abstract

AbstractThis paper addresses the energy‐efficient train timetabling problem for MSM systems, where both propulsion and suspension energy consumption are considered. The timetable design problem is modelled as a bi‐level model for a complete two‐way MSM line. The upper level determines the train departure time at the first station, which makes train operations more convenient for passengers. The lower level uses an empirical description of the train energy consumption as a function of segment running times, and an energy‐efficient timetable optimization model is built. In doing so, all the services in both directions along a certain planning horizon are considered while attending to a known passengers’ demand. Moreover, the convenience of considering energy consumption as part of a broad objective function that includes other relevant costs is pointed out. Then, a unified sequential solution algorithm is developed for an efficient and accurate solution of the bi‐level model. Experiments show that the proposed framework can generate a holographic timetable of energy‐efficient MSM containing multi‐dimensional variables such as time, space, velocity, and electrical quantities.

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Train headway estimation for maglev with blocking time theory;Journal of Computational Methods in Sciences and Engineering;2024-03-14

2. An energy‐efficient timetable optimization method for express/local train with on‐board passenger number considered;IET Intelligent Transport Systems;2024-01-29

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