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ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 20217-20229
作者:  Zhang, Wenwen;  Wang, Jiangong;  Wang, Yutong;  Wang, Fei-Yue
收藏  |  浏览/下载：75/0  |  提交时间：2023/03/20
Adaptation models  Representation learning  Feature extraction  Task analysis  Semantics  Generative adversarial networks  Object detection  Object detection  unsupervised domain adaptation  distribution alignment  domain-invariant representation  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：256/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Ning, Lingbin;  Zhou, Min;  Hou, Zhuopu;  Goverde, Rob M. P.;  Wang, Fei-Yue;  Dong, Hairong
收藏  |  浏览/下载：168/0  |  提交时间：2022/01/27
Rail transportation  Training  Heuristic algorithms  Resistance  Optimal control  Trajectory optimization  Switches  High-speed railway  train trajectory optimization  deep deterministic policy gradient  energy efficiency  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：267/56  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：361/65  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 12, 页码: 4476-4487
作者:  Zhou, Min;  Dong, Hairong;  Zhao, Yanbo;  Ioannou, Petros A.;  Wang, Fei-Yue
收藏  |  浏览/下载：246/0  |  提交时间：2020/03/30
Force  Dynamics  Heuristic algorithms  Optimization  Rails  Public transportation  Optimization  evacuation  leader  heuristic algorithm  extended maximal covering location method  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：420/105  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2072-2084
作者:  Li, Xuan;  Wang, Kunfeng;  Tian, Yonglin;  Yan, Lan;  Deng, Fang;  Wang, Fei-Yue
收藏  |  浏览/下载：301/0  |  提交时间：2019/07/11
Traffic vision  complex environments  parallel vision  artificial scenes  ParallelEye  virtual dataset  
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 666-676
作者:  Martinez, Clara Marina;  Heucke, Mira;  Wang, Fei-Yue;  Gao, Bo;  Cao, Dongpu
收藏  |  浏览/下载：163/0  |  提交时间：2018/10/10
Driving Style  Driving Conditions  Driver Behavior  Driving Style Recognition  Machine Learning  Intelligent Vehicle Control  Energy Efficiency  Driving Safety  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
浏览  |  Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：430/167  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks