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Knowledge Distillation for Travel Time Estimation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 12
作者:  Zhang, Haichao;  Zhao, Fang;  Wang, Chenxing;  Luo, Haiyong;  Xiong, Haoyu;  Fang, Yuchen
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Computational modeling  Trajectory  Roads  Global Positioning System  Predictive models  Estimation  Context modeling  Spatial-travel time estimation  temporal data mining  knowledge distillation  deep learning  
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  
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 7, 页码: 4337-4347
作者:  Yu, Keping;  Lin, Long;  Alazab, Mamoun;  Tan, Liang;  Gu, Bo
收藏  |  浏览/下载：32/0  |  提交时间：2021/12/01
Mixed traffic  big data  5G  deep learning  LSTM  SoftMax  intention recognition  
Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 9, 页码: 3283-3293
作者:  Pang, Junbiao;  Huang, Jing;  Du, Yong;  Yu, Haitao;  Huang, Qingming;  Yin, Baocai
收藏  |  浏览/下载：76/0  |  提交时间：2019/12/10
Bus arriving time prediction  recurrent neural network  heterogenous measurement  long-range dependencies  multi-step-ahead prediction