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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：291/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Behavioral Cloning for Traffic Control with Virtual Expert Demonstration Under a Parallel Learning Framework 会议论文
, 北京, 2020-12
作者:  Li Xiaoshuang;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(770Kb)  |  收藏  |  浏览/下载：181/74  |  提交时间：2022/06/16
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：225/76  |  提交时间：2022/06/16
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：391/130  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 11
作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：199/0  |  提交时间：2022/01/27
Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：317/64  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
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：312/69  |  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
Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：458/230  |  提交时间：2020/10/15
Intelligent transportation systems  
Short-term Traffic Flow Forecasting Based on Wavelet Transform and Neural Network 会议论文
, Japan, 2017
作者:  Liwei Ouyang;  Fenghua Zhu;  Gang Xiong;  Hongxia Zhao;  Fei-Yue Wang;  TaoZhong Liu
浏览  |  Adobe PDF(256Kb)  |  收藏  |  浏览/下载：355/91  |  提交时间：2017/12/31
Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network 会议论文
, Spain, 2015
作者:  Gang XIONG;  Wenwen Kang;  Fei-Yue Wang;  Fenghua Zhu;  Yisheng Lv;  Xisong Dong;  Jukka Riekki;  Susanna Pirttikangas
Adobe PDF(383Kb)  |  收藏  |  浏览/下载：325/84  |  提交时间：2017/12/31