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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, 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：280/34  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：406/74  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
A Survey of Traffic Data Visualization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6, 页码: 2970-2984
作者:  Chen, Wei;  Guo, Fangzhou;  Wang, Fei-Yue
浏览  |  Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：863/444  |  提交时间：2016/01/18
Traffic  Traffic Data Visualization  Visual Analysis  Data-driven Intelligent Transportation System  
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：243/52  |  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