Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm-Reference-Cited by-同舟云学术

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Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm

Published:2023 Issue: Volume: Page:1-10
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Zhou Min¹^ORCID,Hou Zhuopu¹,Wu Xingtang²^ORCID,Dong Hairong¹,Wang Fei-Yue³^ORCID

Affiliation:

1. State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China

2. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

3. Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Technological Research and Development Program of China Railway Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10360430.pdf?arnumber=10360430

Cited by 2 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. Optimization of the cruising speed for high-speed trains to reduce energy consumed by motion resistances;Applied Energy;2024-11

2. Predictive Traffic Regulation Model for Railway Mass Transit Lines Equipped With Continuous Communication Systems;IEEE Access;2024

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