A comprehensive study on reinforcement learning application for train speed profile optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15051-3.pdf
Reference50 articles.
1. Aljohani TM, Ebrahim A, Mohammed O (2021) Real-Time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and Markov chain model. Electr Power Syst Res 192:106962. https://doi.org/10.1016/j.epsr.2020.106962
2. Anh AT, Thu H, Van Quyen N (2021) A novel method for determining fixed running time in operating electric train tracking optimal speed profile. Int J Electr Comput Eng (IJECE) 11(6):4881–4890. https://doi.org/10.11591/ijece.v11i6.pp4881-4890
3. Bertsekas DP, Tsitsiklis JN(1996) Neuro-dynamic programming. Chap.4 Sec. 4.3 p.161.Athena Scientific. https://doi.org/10.1007/978-0-387-74759-0_440
4. Buşoniu L, Babuška R, De Schutter B (2010) Multi-agent reinforcement learning: An overview. In: Innovations in multi-agent systems and applications-1, pp 183–221. https://doi.org/10.1007/978-3-642-14435-6_7
5. Chen M, Fang Q, He T, Guo Y, Wang Q, Sun P (2021). Integrated Optimization of Train Speed Profile and Timetable Considering the Location of Substations. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, pp 460–465. https://doi.org/10.1109/ITSC48978.2021.9564452
Cited by 5 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. Integrated optimization of train timetabling and rolling stock circulation problem with flexible short-turning and energy-saving strategies;Transportation Research Part C: Emerging Technologies;2024-09
2. Real-Time Rail Energy Consumption Minimization: Optimal Speed Profile Planning;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23
3. Deep Q-Network Algorithm-Based Cyclic Air Braking Strategy for Heavy-Haul Trains;Algorithms;2024-04-30
4. Research on automatic driving strategy optimization method of high-speed train based on artificial fish swarm algorithm;Advances in Mechanical Engineering;2024-03
5. Hybrid Decision-Making for Intelligent High-Speed Train Operation: A Boundary Constraint and Pre-Evaluation Reinforcement Learning Approach;IEEE Transactions on Intelligent Transportation Systems;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3