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A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Du, Wenbo;  Chen, Shenwen;  Li, Zhishuai;  Cao, Xianbin;  Lv, Yisheng
收藏  |  浏览/下载:98/0  |  提交时间:2023/11/16
Airport traffic flow  predictive models  deep learning  causality graph  spatiotemporal analysis  
Omnidirectional Depth Estimation With Hierarchical Deep Network for Multi-Fisheye Navigation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 12
作者:  Su, Xiaojie;  Liu, Shimin;  Li, Rui
收藏  |  浏览/下载:74/0  |  提交时间:2023/11/17
Feature extraction  Cameras  Estimation  Task analysis  Navigation  Costs  Semantics  Omnidirectional depth estimation  hierarchical deep network  multi-fisheye navigation system  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:138/0  |  提交时间:2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xu, Mingyuan;  Guo, Haiyun;  Jia, Yuheng;  Dai, Zhitao;  Wang, Jinqiao
收藏  |  浏览/下载:194/0  |  提交时间:2023/02/22
Person re-identification  unsupervised learning  domain adaptation  pseudo label rectification  
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:282/54  |  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  
A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 11
作者:  Ren, Lei;  Fan, Xiaoyang;  Cui, Jin;  Shen, Zhen;  Lv, Yisheng;  Xiong, Gang
收藏  |  浏览/下载:168/0  |  提交时间:2022/06/06
Reinforcement learning  Costs  Task analysis  Transportation  Optimization  Computational modeling  Vehicle routing  Vehicle routing  supply chain management  multi-agent reinforcement learning (MARL)  route recorder  
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302
作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun;  Cui, Yong;  Zhang, Baochang;  Xiong, Gang;  Wang, Zilie
收藏  |  浏览/下载:241/0  |  提交时间:2021/08/15
Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network  
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 2, 页码: 863-875
作者:  Zhang, Hui;  Luo, Guiyang;  Tian, Yonglin;  Wang, Kunfeng;  He, Haibo;  Wang, Fei-Yue
收藏  |  浏览/下载:248/0  |  提交时间:2021/03/29
Image segmentation  Annotations  Computational modeling  Automation  Object detection  Visualization  Instance segmentation  virtual-real interaction  synthetic images  distribution discrepancy  autonomous vehicles  
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:294/58  |  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  
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:370/71  |  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