Research on Energy-Saving Speed Curve of Heavy Haul Train Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Research on Energy-Saving Speed Curve of Heavy Haul Train Based on Reinforcement Learning

Published:2023-09-24 Issue: Volume:23 Page:2523-2528
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Zhang Wei¹,Sun Xubin¹,Liu Zhongtian¹,Yang Liu¹

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422218.pdf?arnumber=10422218

Reference14 articles.

1. Train Operation Strategy Optimization Based on a Double-Population Genetic Particle Swarm Optimization Algorithm

2. Optimization analysis on the energy saving control for trains with adaptive genetic algorithm

3. Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro

4. Energy-efficient train control: From local convexity to global optimization and uniqueness

Cited by 1 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. Deep Q-Network Algorithm-Based Cyclic Air Braking Strategy for Heavy-Haul Trains;Algorithms;2024-04-30

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