A Real-Time Timetable Rescheduling Method for Metro System Energy Optimization under Dwell-Time Disturbances

Author:

Yang Guang1ORCID,Wang Junjie1ORCID,Zhang Feng1ORCID,Zhang Shiwen1ORCID,Gong Cheng2ORCID

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

2. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

Abstract

Automatic Train Systems (ATSs) have attracted much attention in recent years. A reliable ATS can reschedule timetables adaptively and rapidly whenever a possible disturbance breaks the original timetable. Most research focuses the timetable rescheduling problem on minimizing the overall delay for trains or passengers. Few have been focusing on how to minimize the energy consumption when disturbances happen. In this paper, a real-time timetable rescheduling method (RTTRM) for energy optimization of metro systems has been proposed. The proposed method takes little time to recalculate a new schedule and gives proper solutions for all trains in the network immediately after a random disturbance happens, which avoids possible chain reactions that would attenuate the reuse of regenerative energy. The real-time feature and self-adaptability of the method are attributed to the combinational use of Genetic Algorithm (GA) and Deep Neural Network (DNN). The decision system for proposing solutions, which contains multiple DNN cells with same structures, is trained by GA results. RTTRM is upon the foundation of three models for metro networks: a control model, a timetable model and an energy model. Several numerical examples tested on Shanghai Metro Line 1 (SML1) validate the energy saving effects and real-time features of the proposed method.

Funder

Shanghai Shentong Metro Group Co., Ltd

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Cited by 8 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. Rescheduling of Metro Traffic with a Skip-Stop Strategy after Disruption;2023 42nd Chinese Control Conference (CCC);2023-07-24

2. Optimization study of rail transit metro train schedules based on bi-objective opportunity constrained planning for connecting airports;2023 International Conference on Networking, Informatics and Computing (ICNETIC);2023-05

3. Application of AI in Rail Transit Operation and Maintenance;Advances in High-speed Rail Technology;2022-11-29

4. Traffic Modeling and Rescheduling for High-speed Train Based on Block Sections;2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS);2022-10-28

5. Near real-time timetabling for metro system energy optimization considering passenger flow and random delays;Journal of Rail Transport Planning & Management;2022-03

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