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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：73/0  |  提交时间：2023/11/16
Airport traffic flow  predictive models  deep learning  causality graph  spatiotemporal analysis  
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Hu, Xuemin;  Liu, Yanfang;  Tang, Bo;  Yan, Junchi;  Chen, Long
收藏  |  浏览/下载：25/0  |  提交时间：2023/11/17
Autonomous driving  graph convolutional network  trainable adjacency matrix  overtaking  dynamic graph  
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：120/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：140/0  |  提交时间：2023/01/09
Index Terms- Traffic forecasting  graph convolutional network  spatial-temporal networks  over-smoothing  
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：229/29  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：161/0  |  提交时间：2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks  
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Jin, Junchen;  Rong, Dingding;  Zhang, Tong;  Ji, Qingyuan;  Guo, Haifeng;  Lv, Yisheng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：222/0  |  提交时间：2022/06/06
Roads  Predictive models  Data models  Recurrent neural networks  Generators  Computer architecture  Deep learning  Short-term link speed prediction  signalized urban networks  Wasserstein generative adversarial network  
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 11
作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：160/0  |  提交时间：2022/01/27
Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：191/0  |  提交时间：2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning  
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：266/51  |  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