Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines

With increasing energy consumption in urban rail transit systems, researchers have paid significant attention to energy-saving train control. In this paper, we propose an effective train trajectory optimization method to reduce the energy consumption based on coasting control, in which coasting cont...

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Main Authors: Bo Jin, Song Yang, Qingyuan Wang, Xiaoyun Feng
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/1217352
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author Bo Jin
Song Yang
Qingyuan Wang
Xiaoyun Feng
author_facet Bo Jin
Song Yang
Qingyuan Wang
Xiaoyun Feng
author_sort Bo Jin
collection DOAJ
description With increasing energy consumption in urban rail transit systems, researchers have paid significant attention to energy-saving train control. In this paper, we propose an effective train trajectory optimization method to reduce the energy consumption based on coasting control, in which coasting control regimes are added to balance running time and energy consumption. For better determining the starting points of coasting control regimes, the whole train running process is divided into several subintervals. Then, aiming to achieve energy efficiency, coasting regimes are added to the subintervals with high energy-saving effects, in which more energy consumption can be reduced with the same running time addition. Based on this, a coasting control method is proposed to generate energy-saving trajectories considering train dynamics, safety, and punctuality. In addition, the proposed method can solve the multisection energy-saving train trajectory optimization problem to obtain optimal running time schemes and related trajectories. Finally, numerical examples based on one of the Beijing metro lines are implemented to verify the effectiveness of the proposed method. The results show that, for the single-section train control problem, the proposed coasting control algorithm can achieve significant energy-saving effects compared to the practical trajectory and calculate energy-saving trajectory in shorter computation times compared to the dynamic programming method. Meanwhile, for the multisection train control problem, energy consumption can be further reduced by optimizing trajectories and running times integratedly.
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publishDate 2023-01-01
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series Journal of Advanced Transportation
spelling doaj-art-647e305f29f04231b287a28ceb8d602a2025-02-03T06:43:13ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/1217352Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro LinesBo Jin0Song Yang1Qingyuan Wang2Xiaoyun Feng3Zhejiang Scientific Research Institute of TransportZhejiang Scientific Research Institute of TransportSchool of Electrical EngineeringSchool of Electrical EngineeringWith increasing energy consumption in urban rail transit systems, researchers have paid significant attention to energy-saving train control. In this paper, we propose an effective train trajectory optimization method to reduce the energy consumption based on coasting control, in which coasting control regimes are added to balance running time and energy consumption. For better determining the starting points of coasting control regimes, the whole train running process is divided into several subintervals. Then, aiming to achieve energy efficiency, coasting regimes are added to the subintervals with high energy-saving effects, in which more energy consumption can be reduced with the same running time addition. Based on this, a coasting control method is proposed to generate energy-saving trajectories considering train dynamics, safety, and punctuality. In addition, the proposed method can solve the multisection energy-saving train trajectory optimization problem to obtain optimal running time schemes and related trajectories. Finally, numerical examples based on one of the Beijing metro lines are implemented to verify the effectiveness of the proposed method. The results show that, for the single-section train control problem, the proposed coasting control algorithm can achieve significant energy-saving effects compared to the practical trajectory and calculate energy-saving trajectory in shorter computation times compared to the dynamic programming method. Meanwhile, for the multisection train control problem, energy consumption can be further reduced by optimizing trajectories and running times integratedly.http://dx.doi.org/10.1155/2023/1217352
spellingShingle Bo Jin
Song Yang
Qingyuan Wang
Xiaoyun Feng
Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
Journal of Advanced Transportation
title Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
title_full Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
title_fullStr Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
title_full_unstemmed Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
title_short Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines
title_sort study on energy saving train trajectory optimization based on coasting control in metro lines
url http://dx.doi.org/10.1155/2023/1217352
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AT qingyuanwang studyonenergysavingtraintrajectoryoptimizationbasedoncoastingcontrolinmetrolines
AT xiaoyunfeng studyonenergysavingtraintrajectoryoptimizationbasedoncoastingcontrolinmetrolines