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Research on the cooperative train control method in the metro system for energy saving
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Siyao Li, Bo Yuan, Yun Bai, Jianfeng Liu
Railway Sciences | 2023, 2(3) : 371 - 394
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Railway Sciences | 2023, 2(3): 371-394
Research paper
Research on the cooperative train control method in the metro system for energy saving
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Siyao Li, Bo Yuan, Yun Bai, Jianfeng Liu
Affiliations
  • Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Transporatation Research Center, Beijing Urban Construction Design & Research Institute Co., Ltd, Beijing, China
  • School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
  • Transporatation Research Center, Beijing Urban Construction Design & Research Institute Co., Ltd, Beijing, China
Published: 2023-09-10 doi: 10.1108/RS-07-2023-0025
Outline
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Purpose

To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following the scheme after the departure, energy-saving performance of the whole metro system cannot be guaranteed.

Design/methodology/approach

A cooperative train control framework is formulated to regulate a novel train operation mode. The classic train four-phase control strategy is improved for generating specific energy-efficient control schemes for each train. An improved brute force (BF) algorithm with a two-layer searching idea is designed to solve the optimisation model of energy-efficient train control schemes.

Findings

Case studies on the actual metro line in Guangzhou, China verify the effectiveness of the proposed train control methods compared with four-phase control strategy under different kinds of train operation scenarios and calculation parameters. The verification on the computation efficiency as well as accuracy of the proposed algorithm indicates that it meets the requirement of online optimisation.

Originality/value

Most existing studies optimised energy-efficient train timetable or train control strategies through an offline process, which has a defect in coping with the disturbance or delays effectively and promptly during real-time train operation. This paper studies an online optimisation of cooperative train control based on the rolling optimisation idea, where energy-efficient train operation can be realised once train running time is determined, thus mitigating the impact of unpredictable operation situations on the energy-saving performance of trains.

Train operation scheme  /  Energy saving  /  Cooperative control  /  Metro system
Siyao Li, Bo Yuan, Yun Bai, Jianfeng Liu. Research on the cooperative train control method in the metro system for energy saving[J]. Railway Sciences, 2023 , 2 (3) : 371 -394 . DOI: 10.1108/RS-07-2023-0025
  • the National Natural Science Foundation of China(71971016)
Year 2023 volume 2 Issue 3
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Article Info
doi: 10.1108/RS-07-2023-0025
  • Receive Date:2023-07-14
  • Online Date:2026-06-11
  • Published:2023-09-10
Article Data
Affiliations
History
  • Received:2023-07-14
  • Revised:2023-08-12
  • Accepted:2023-08-16
Funding
the National Natural Science Foundation of China(71971016)
Affiliations
    Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Transporatation Research Center, Beijing Urban Construction Design & Research Institute Co., Ltd, Beijing, China
    School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
    Transporatation Research Center, Beijing Urban Construction Design & Research Institute Co., Ltd, Beijing, China

Corresponding:

Jianfeng Liu can be contacted at:
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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