Energy-Efficient Train Control Method Based on Batch Constrained Deep Q-Learning-Reference-Cited by-同舟云学术

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Energy-Efficient Train Control Method Based on Batch Constrained Deep Q-Learning

Published:2023-09-24 Issue: Volume: Page:2920-2925
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
Short-container-title:

Author:

Li Ruoqing¹,Su Shuai¹,Gu Yukun²,Zhang Lei³,Wang Hao⁴

Affiliation:

1. Beijing Jiaotong University,State Key Laboratory of Traffic Control and Safety,Beijing,P. R. China

2. Beijing Mass Transit Railway Operation Co., Ltd.

3. Traffic Control Technology Co., Ltd,Beijing,China

4. China Construction Third Bureau Digitalization Engineering CO. Ltd,Beijing,China

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422583.pdf?arnumber=10422583

Reference18 articles.

1. Optimal strategies for the control of a train

2. Energy-efficient train control

3. Energy Efficient Train Trajectory in the Railway System with Moving Block Signaling Scheme

4. Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach

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