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Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载:19/0  |  提交时间:2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang;  Guo, Song
收藏  |  浏览/下载:29/0  |  提交时间:2022/06/21
Transportation  Feature extraction  Data models  Navigation  Computational modeling  Bagging  Accelerometers  Cross-place  transportation mode recognition  SF-SEDNet  global attention  ensemble learning  data augmentation  
Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 10, 页码: 3208-3219
作者:  Pang, Junbiao;  Huang, Jing;  Yang, Xue;  Wang, Zuyun;  Yu, Haitao;  Huang, Qingming;  Yin, Baocai
收藏  |  浏览/下载:65/0  |  提交时间:2019/12/10
Spatio-temporal pattern  fine-grained pattern  low-rank regularity  matrix factorization  taxis trip  point process