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Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network 会议论文
, Macau, China, October 8-12, 2022
作者:  Zhao, Hongxia;  Chen, Songhang;  Zhu, Fenghua;  Tang, Haina
Adobe PDF(565Kb)  |  收藏  |  浏览/下载:17/10  |  提交时间:2024/06/03
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:296/38  |  提交时间:2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载:393/132  |  提交时间:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
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:240/56  |  提交时间:2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction 会议论文
, Auckland, New Zealand, 2019-10-27
作者:  Zhishuai Li;  Gang Xiong;  Yuanyuan Chen;  Yisheng Lv;  Bin Hu;  Fenghua Zhu;  Fei-Yue Wang
Adobe PDF(305Kb)  |  收藏  |  浏览/下载:315/70  |  提交时间:2020/10/15
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载:460/230  |  提交时间:2020/10/15
Intelligent transportation systems  
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:231/91  |  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:458/180  |  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:318/56  |  提交时间:2018/01/06
Two Intersections Traffic Signal Control Method Based on ADHDP 会议论文
, China, 2016
作者:  Cao Lin;  Hu Bin;  Dong Xisong;  XIONG Gang;  Zhu Fenghua;  Shen Zhen;  Shen Dong;  Liu Yuliang
浏览  |  Adobe PDF(438Kb)  |  收藏  |  浏览/下载:346/120  |  提交时间:2017/12/31