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成果类型:
期刊论文
作者:
Shi, Xiaoyu;Zhang, Jian;Jiang, Xia;Chen, Juan;Hao, Wei;...
通讯作者:
Zhang, J
作者机构:
[Wang, Bo; Zhang, Jian; Shi, Xiaoyu; Jiang, Xia; Zhang, J] Jiangsu Key Lab Urban ITS Southeast Univ, Southeast Univ, Sch Transportat, Dept Intelligent Transportat & Spatial Informat, Nanjing 211189, Jiangsu, Peoples R China.
[Zhang, Jian] Tibet Univ, Inst Technol, Lhasa 850000, Tibet, Peoples R China.
[Jiang, Xia] Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, NL-5600 MB Eindhoven, Netherlands.
[Chen, Juan] Suzhou Tongshang Engn Design Consulting Co Ltd, Suzhou 215128, Jiangsu, Peoples R China.
[Hao, Wei] Changsha Univ Sci & Technol, Hunan Prov Key Lab Smart Roadway & Cooperat Vehicl, Changsha 410205, Peoples R China.
通讯机构:
[Zhang, J ] J
Jiangsu Key Lab Urban ITS Southeast Univ, Southeast Univ, Sch Transportat, Dept Intelligent Transportat & Spatial Informat, Nanjing 211189, Jiangsu, Peoples R China.
语种:
英文
关键词:
Eco-driving;Offline reinforcement learning;Conservative Q-learning;Signal phase and timing
期刊:
Physica A-Statistical Mechanics and its Applications
ISSN:
0378-4371
年:
2024
卷:
633
页码:
129353
基金类别:
CRediT authorship contribution statement Xiaoyu Shi: Methodology, Writing – original draft preparation. Jian Zhang: Conceptualization, Supervision, Writing – review & editing. Xia Jiang: Visualization, Investigation. Juan Chen: Data curation, acquisition. Wei Hao: Validation, Supervision. Bo Wang: Writing – review & editing.
机构署名:
本校为其他机构
摘要:
Eco-driving represents a promising avenue for mitigating energy consumption in road transportation. To enhance the applicability of learning-based eco-driving strategies, this study presents a novel framework that employs offline reinforcement learning in eco-driving control. This framework enables a vehicle agent to acquire eco-driving behavior by leveraging real-world human driving trajectories. Specifically, the human driving trajectories, along with the corresponding traffic signal timing scheme, obtained from empirical data, are utilized to construct a comprehensive Markov Decision Proces...

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