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Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
作者:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载:5/2  |  提交时间:2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载:120/21  |  提交时间:2023/06/26
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:286/35  |  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:223/76  |  提交时间:2022/06/16
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载:237/55  |  提交时间:2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载:226/89  |  提交时间:2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Service Science Management and Engineering: Theory and Applications 其他
2012-01-01
作者:  Xiong Gang;  Liu Zhong;  Liu Xiwei;  Zhu Fenghua;  Shen Dong
浏览  |  Adobe PDF(16783Kb)  |  收藏  |  浏览/下载:446/178  |  提交时间:2018/03/08
Computational Traffic Experiments Based on Artificial Transportation Systems: An Application of the ACP Approach 专著章节/文集论文
出自: Advances in Artificial Transportation Systems and Simulation, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM, AMSTERDAM:Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, Academic Press, 2015
作者:  Zhu, Fenghua;  Li, Zhenjiang
浏览  |  Adobe PDF(2259Kb)  |  收藏  |  浏览/下载:313/54  |  提交时间:2018/01/06
基于MFD 的城市区域过饱和交通信号优化控制 期刊论文
自动化学报, 2017, 卷号: 43, 期号: 7, 页码: 1220-1233
作者:  刘小明;  唐少虎;  朱凤华;  陈兆盟
浏览  |  Adobe PDF(1698Kb)  |  收藏  |  浏览/下载:392/121  |  提交时间:2018/01/06
区域交通信号优化  宏观基本图  
Service Science, Management and Engineering 专著
New York:Elsevier, 2012
作者:  Gang Xiong;  Zhong LIU;  Xiwei LIU;  Fenghua ZHU;  Dong SHEN
浏览  |  Adobe PDF(1040Kb)  |  收藏  |  浏览/下载:160/31  |  提交时间:2017/12/31