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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, 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：247/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Navigating Diverse Salient Features for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 10
作者:  Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：260/51  |  提交时间：2022/09/19
Navigation  Task analysis  Image color analysis  Boosting  Feature extraction  Benchmark testing  Space vehicles  Vehicle re-identification  suppress-and-explore mode  grid-based salient navigation  cross-space constraints  
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：280/53  |  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  
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：351/64  |  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
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：354/151  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
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：358/108  |  提交时间：2017/09/12
Traffic Sensor Location  Traffic Flow Estimation  Compressed Sensing  
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 1, 页码: 25-48
作者:  Tian, Bin;  Morris, Brendan Tran;  Tang, Ming;  Liu, Yuqiang;  Yao, Yanjie;  Gou, Chao;  Shen, Dayong;  Tang, Shaohu;  Bin Tian
浏览  |  Adobe PDF(1143Kb)  |  收藏  |  浏览/下载：530/161  |  提交时间：2015/09/22
Behavior Understanding  Computer Vision  Networked Surveillance System  Traffic Surveillance  Vehicle Detection  Vehicle Tracking  
Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 4, 页码: 1096-1107
作者:  Gou, Chao;  Wang, Kunfeng;  Yao, Yanjie;  Li, Zhengxi;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：852/381  |  提交时间：2016/04/06
License Plate Detection  License Plate Recognition  Hybrid Discriminative Restricted Boltzmann Machines  Extremal Regions  
Visual Tracking Based on Dynamic Coupled Conditional Random Field Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 3, 页码: 822-833
作者:  Liu, Yuqiang;  Wang, Kunfeng;  Shen, Dayong;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(1757Kb)  |  收藏  |  浏览/下载：392/124  |  提交时间：2016/04/06
Coupled Conditional Random Field  Dynamic Models  Visual Tracking  Region-level Tracking  Spatiotemporal Context  
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：187/6  |  提交时间：2016/01/18