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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：260/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Multi-Granularity Mutual Learning Network for Object Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Tu, Mingfei;  Zhu, Kuan;  Guo, Haiyun;  Miao, Qinghai;  Zhao, Chaoyang;  Zhu, Guibo;  Qiao, Honglin;  Huang, Gaopan;  Tang, Ming;  Wang, Jinqiao
Adobe PDF(4360Kb)  |  收藏  |  浏览/下载：368/72  |  提交时间：2022/06/10
Feature extraction  Visualization  Task analysis  Intelligent transportation systems  Image reconstruction  Semantics  Licenses  Object re-identification  mutual learning  feature reconstruction  solving jigsaw puzzle  
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：375/71  |  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  
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
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：362/65  |  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：357/153  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
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：434/168  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
An Incidental Delivery Based Method for Resolving Multirobot Pairwised Transportation Problems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 7, 页码: 1852-1866
作者:  Liu, Zhe;  Wang, Hesheng;  Chen, Weidong;  Yu, Junzhi;  Chen, Jian
Adobe PDF(3291Kb)  |  收藏  |  浏览/下载：308/84  |  提交时间：2016/10/20
Incidental Delivery  Multirobot Pairwised Transportation (Mrpwt)  Simulated Annealing  
Crowdsourcing in ITS: The State of the Work and the Networking 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1596-1605
作者:  Wang, Xiao;  Zheng, Xinhu;  Zhang, Qingpeng;  Wang, Tao;  Shen, Dayong;  Xiao Wang
浏览  |  Adobe PDF(1393Kb)  |  收藏  |  浏览/下载：406/94  |  提交时间：2016/06/20
Crowdsourcing  Location-based Services  Network Analysis  Urban Traffic Management  
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：393/125  |  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：191/6  |  提交时间：2016/01/18