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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：309/40  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：238/78  |  提交时间：2022/06/16
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：348/83  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its  
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：302/59  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its