Distributed Multi-Agent Reinforcement Learning for Cooperative Low-Carbon Control of Traffic Network Flow Using Cloud-Based Parallel Optimization
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- Yongnan Zhang
- Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
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- Yonghua Zhou
- School of Automation and Intelligence, Beijing Jiaotong University, Beijing, China
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- Hamido Fujita
- Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
書誌事項
- 公開日
- 2024-12
- 資源種別
- journal article
- 権利情報
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- https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
- https://doi.org/10.15223/policy-029
- https://doi.org/10.15223/policy-037
- DOI
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- 10.1109/tits.2024.3452430
- 公開者
- Institute of Electrical and Electronics Engineers (IEEE)
この論文をさがす
収録刊行物
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- IEEE Transactions on Intelligent Transportation Systems
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IEEE Transactions on Intelligent Transportation Systems 25 (12), 20715-20728, 2024-12
Institute of Electrical and Electronics Engineers (IEEE)
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詳細情報 詳細情報について
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- CRID
- 1360306904405327872
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- ISSN
- 15580016
- 15249050
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN