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Dahan wang

Beijing Jiaotong University

No.3 of Shangyuan Residence Haidian District

Beijing, 100089

China

SCHOLARLY PAPERS

3

DOWNLOADS

233

TOTAL CITATIONS

1

Scholarly Papers (3)

Energy-Saving Optimization of Urban Rail Transit Timetable: A Deep Reinforcement Learning Approach

Number of pages: 25 Posted: 26 Nov 2024
Dahan wang, Haodong Yin, Xin Guo and JianJun Wu
Beijing Jiaotong University, Beijing Jiaotong University, Beijing Jiaotong University and Dalian University of Technology
Downloads 137 (534,931)
Citation 1

Abstract:

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subway energy-saving, timetable optimization, deep reinforcement learning, Actor-Critic network

Energy-Saving Optimization of Urban Rail Transit Timetable: A Deep Reinforcement Learning Approach

Number of pages: 25 Posted: 28 Jan 2025
Dahan wang, Haodong Yin, Xin Guo and JianJun Wu
Beijing Jiaotong University, Beijing Jiaotong University, Beijing Jiaotong University and Dalian University of Technology
Downloads 38 (1,238,337)

Abstract:

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subway energy-saving, timetable optimization, deep reinforcement learning, Actor-Critic network

2.

Optimizing Energy-Efficient Train Speed Profiles in Metro System Digital Twins: An On-Policy Reinforcement Learning Approach with Policy Implications

Number of pages: 31 Posted: 13 Jun 2025
Dahan wang, Haodong Yin, Xin Guo and JianJun Wu
Beijing Jiaotong University, Beijing Jiaotong University, Beijing Jiaotong University and Dalian University of Technology
Downloads 31 (1,304,549)

Abstract:

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On-policy Reinforcement learning, Train energy-efficient speed profile, Robustness and generalization, Metro System Digital Twins

3.

Integrated Optimization of Train Operation Plan and Energy-Saving Operation for Urban Rail Transit with Different-Length Routes Under Mixed-Formation

Number of pages: 35 Posted: 16 Apr 2025
Beijing Jiaotong University, Beijing Jiaotong University, Beijing Jiaotong University, Beijing Jiaotong University and Dalian University of Technology
Downloads 27 (1,372,601)

Abstract:

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Train mixed-formation, Short turn, Integrated energy-saving, multi-objective optimization