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  A Deep Reinforcement Learning Based Ramp Metering Control Method Considering Ramp Outflow ⁎ ⁎ This work was supported by:(1) The SDHS Science and Technology Program Projects: Research on Key Technologies for Safety Design and Parallel Management and Control of Operational Risks of Highway Composite Hub Interchange Groups (HS2023B044) (2)The Provincial Key Research and Development Program of Zhejiang (project number: 2022C01129) (3)Ningbo International Science and Technology Cooperation Project: Theoretical and Technological Research on Cooperative traffic Control of Port Collection and Distribution Highway(2023H020)
 
 
Titel: A Deep Reinforcement Learning Based Ramp Metering Control Method Considering Ramp Outflow ⁎ ⁎ This work was supported by:(1) The SDHS Science and Technology Program Projects: Research on Key Technologies for Safety Design and Parallel Management and Control of Operational Risks of Highway Composite Hub Interchange Groups (HS2023B044) (2)The Provincial Key Research and Development Program of Zhejiang (project number: 2022C01129) (3)Ningbo International Science and Technology Cooperation Project: Theoretical and Technological Research on Cooperative traffic Control of Port Collection and Distribution Highway(2023H020)
Auteur: Cheng, Junwei
Ye, Chenglong
Wang, Nanning
Yao, Yueyang
Zhao, Hongxia
Dai, Xingyuan
Xiong, Gang
Xing, Xiaoliang
Lv, Yisheng
Verschenen in: IFAC-PapersOnLine
Paginering: Jaargang 58 () nr. 10 pagina's 200-205
Jaar: 2024
Inhoud:
Uitgever: Published by Elsevier B.V.
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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