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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：255/51  |  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  
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：260/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
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：406/102  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
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：428/166  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
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：521/161  |  提交时间：2015/09/22
Behavior Understanding  Computer Vision  Networked Surveillance System  Traffic Surveillance  Vehicle Detection  Vehicle Tracking  
Big Data for Social Transportation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 3, 页码: 620-630
作者:  Zheng, Xinhu;  Chen, Wei;  Wang, Pu;  Shen, Dayong;  Chen, Songhang;  Wang, Xiao;  Zhang, Qingpeng;  Yang, Liuqing
Adobe PDF(1913Kb)  |  收藏  |  浏览/下载：756/268  |  提交时间：2016/06/14
Big Data  Social Transportation  Intelligent Transportation System  Data Analytics  Crowdsourcing  
Scanning the Issue and Beyond: The Endless ITS Frontier in CSP Spaces 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 4, 页码: 1610-1618
作者:  Wang, Fei-Yue
浏览  |  Adobe PDF(105Kb)  |  收藏  |  浏览/下载：226/47  |  提交时间：2015/09/23
Csp Spaces  Its  
Traffic Flow Prediction With Big Data: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 865-873
作者:  Lv, Yisheng;  Duan, Yanjie;  Kang, Wenwen;  Li, Zhengxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：3735/2335  |  提交时间：2015/09/21
Deep Learning  Stacked Autoencoders (Saes)  Traffic Flow Prediction  
Collaborations Patterns and Productivity Analysis for IEEE T-ITS Between 2010 and 2013 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 6, 页码: 2360-2367
作者:  Wang, Tao;  Wang, Xiao;  Tang, Shaohu;  Lin, Yuetong;  Liu, Wenli;  Liu, Zhong;  Xiu, Baoxin;  Shen, Dayong;  Zhao, Xueliang;  Gao, Yanqing
浏览  |  Adobe PDF(1638Kb)  |  收藏  |  浏览/下载：410/94  |  提交时间：2015/08/12
Coauthorship Networks  Intelligent Transportation Systems (Its)  Productivity Analysis  Scientific Collaborations  
Scanning the Issue and Beyond: Real-Time Social Transportation with Online Social Signals 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 3, 页码: 909-914
作者:  Wang, Fei-Yue
浏览  |  Adobe PDF(77Kb)  |  收藏  |  浏览/下载：335/118  |  提交时间：2015/08/12
Real-time Social Transportation  Online Social Signals