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Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 7, 页码: 9654-9664
作者:  Yu, Xiaoyuan;  Liang, Yanyan;  Lin, Xuxin;  Wan, Jun;  Wang, Tian;  Dai, Hong-Ning
收藏  |  浏览/下载：213/0  |  提交时间：2022/11/14
Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss  
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  
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：319/64  |  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  
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：286/59  |  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：381/66  |  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  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
Adobe PDF(623Kb)  |  收藏  |  浏览/下载：368/159  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
A Parallel Transportation Management and Control System for Bus Rapid Transit Using the ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 9, 页码: 2569-2574
作者:  Dong, Xisong;  Lin, Yuetong;  Shen, Dayong;  Li, Zhengxi;  Zhu, Fenghua;  Hu, Bin;  Fan, Dong;  Xiong, Gang
浏览  |  Adobe PDF(2125Kb)  |  收藏  |  浏览/下载：440/124  |  提交时间：2018/03/03
Bus Rapid Transit (Brt)  Acp Approach Parallel Transportation System  Dynamic Perception  Artificial Transportation System  
Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1857-1866
作者:  Ye, Peijun;  Wen, Ding
浏览  |  Adobe PDF(1590Kb)  |  收藏  |  浏览/下载：371/112  |  提交时间：2017/09/12
Traffic Sensor Location  Traffic Flow Estimation  Compressed Sensing  
Scanning the Issue and Beyond: Merton's Laws and Mertionian Systems for ITS 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6
作者:  Wang, Fei-Yue
Adobe PDF(247Kb)  |  收藏  |  浏览/下载：198/6  |  提交时间：2016/01/18
A Security and Privacy Review of VANETs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6, 页码: 2985-2996
作者:  Qu, Fengzhong;  Wu, Zhihui;  Wang, Fei-Yue;  Cho, Woong
浏览  |  Adobe PDF(1031Kb)  |  收藏  |  浏览/下载：560/238  |  提交时间：2016/01/18
Vanets  Security  Privacy  Survey