CASIA OpenIR
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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:334/46  |  提交时间:2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Cyber-Physical-Social System in Intelligent Transportation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2015, 期号: 3, 页码: 320 - 333
作者:  Gang Xiong;  Fenghua Zhu;  Xiwei Liu;  Xisong Dong;  Wuling Huang;  Songhang Chen;  Zhao K(赵恺)
浏览  |  Adobe PDF(4004Kb)  |  收藏  |  浏览/下载:408/167  |  提交时间:2019/10/10
Cyber-physical-social System (Cpss)  Acp Approach  Intelligent Transportation System (Its)  Parallel Control And Management,  Internet Of Vehicles  Social Transportation Network  
Cyber-Physical-Social System in Intelligent Transportation 期刊论文
IEEE/CAA JOURNAL OF AUTOMATICA SINICA,, 2015, 卷号: 2, 期号: 3, 页码: 320-333
作者:  Gang XIONG;  Fenghua Zhu;  Xiwei Liu;  Xisong Dong;  Wuling Huang;  Songhang Chen;  Kai Zhao
浏览  |  Adobe PDF(4001Kb)  |  收藏  |  浏览/下载:425/166  |  提交时间:2017/12/31
Cyber-physical-social System (Cpss)  Acp Approach  Intelligent Transportation System (Its)  Parallel Control And Management  Internet Of Vehicles  
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
Adobe PDF(586Kb)  |  收藏  |  浏览/下载:361/90  |  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:311/63  |  提交时间:2015/11/08
Dynacas  Computational Experiments  Decision Support  Its