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CASIA OpenIR
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Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Mobility-on-demand system  vehicle repositioning  hierarchical graph reinforcement learning  auxiliary graph reinforcement learning  
Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 17
作者:  Wang, Fei-Yue;  Lin, Yilun;  Ioannou, Petros A.;  Vlacic, Ljubo;  Liu, Xiaoming;  Eskandarian, Azim;  Lv, Yisheng;  Na, Xiaoxiang;  Cebon, David;  Ma, Jiaqi;  Li, Lingxi;  Olaverri-Monreal, Cristina
收藏  |  浏览/下载：137/0  |  提交时间：2023/11/16
Intelligent transportation systems  cyber-physical-social systems  parallel intelligence  knowledge automation  DAOs  transportation 5.0  
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：176/7  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：306/40  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Shen, Zhen;  Luo, Can;  Dong, Xisong;  Lu, Wanze;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：313/0  |  提交时间：2022/03/17
Hybrid electric vehicles  Fuels  Electronic countermeasures  Minimization  Mechanical power transmission  Optimization  Energy management  Adaptive dynamic programming  adaptive-equivalent consumption minimization strategy  hybrid electric vehicle  energy control  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：301/62  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：391/67  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Traffic Flow Prediction With Big Data: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 865-873
作者:  Lv, Yisheng;  Duan, Yanjie;  Kang, Wenwen;  Li, Zhengxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：3852/2349  |  提交时间：2015/09/21
Deep Learning  Stacked Autoencoders (Saes)  Traffic Flow Prediction