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Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：152/4  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
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
Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：281/58  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
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：448/172  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Modeling Social Influence on Activity-Travel Behaviors Using Artificial Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 3, 页码: 1576-1581
作者:  Chen, Songhang;  Liu, Zhong;  Shen, Dayong
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载：479/154  |  提交时间：2016/10/15
Social Networks  Activity-travel Behaviors  Artificial Transportation Systems (Atss)  Social Interactions  Social Learning  
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：405/131  |  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: 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：242/52  |  提交时间：2015/09/23
Csp Spaces  Its  
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：562/165  |  提交时间：2015/09/22
Behavior Understanding  Computer Vision  Networked Surveillance System  Traffic Surveillance  Vehicle Detection  Vehicle Tracking  
Scanning the Issue and Beyond: Transportation and Mobility Transformation for Smart Cities 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 525-533
作者:  Wang, Fei-Yue
浏览  |  Adobe PDF(102Kb)  |  收藏  |  浏览/下载：299/106  |  提交时间：2015/09/21
Transportation  Mobility Transformation  Smart Cities  
A Study of Destination Selection Model Based on Link Flows 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 1, 页码: 428-437
作者:  Ye, Peijun;  Wen, Ding
浏览  |  Adobe PDF(774Kb)  |  收藏  |  浏览/下载：225/82  |  提交时间：2015/08/12
Destination Selection  Link Flow  Traffic Simulation  
Computational Traffic Experiments Based on Artificial Transportation Systems: An Application of ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 1, 页码: 189-198
作者:  Zhu, Fenghua;  Wen, Ding;  Chen, Songhang
浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：326/85  |  提交时间：2015/08/12
Agent  Artificial Transportation Systems (Atss)  Artificial Societies  Computational Experiment  Computational Experiments  "simple Is consIstent"  And Parallel Execution (Acp) Approach