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Identifying Critical Test Scenarios for Lane Keeping Assistance System Using Analytic Hierarchy Process and Hierarchical Clustering 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4370-4380
作者:  Song, Rui;  Li, Xuan;  Zhao, Xiangmo;  Liu, Mingyang;  Zhou, Jianhua;  Wang, Fei-Yue
收藏  |  浏览/下载：28/0  |  提交时间：2024/02/22
Analytic hierarchy process  Accidents  autonomous vehicles  critical test scenarios  hierarchical clustering  lane keeping asistance system  scenarios engineering  
Airport Capacity Prediction With Multisource Features: A Temporal Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 1, 页码: 615-630
作者:  Du, Wenbo;  Chen, Shenwen;  Li, Haitao;  Li, Zhishuai;  Cao, Xianbin;  Lv, Yisheng
收藏  |  浏览/下载：45/0  |  提交时间：2023/11/16
Airport capacity  predictive model  multi-channel fusion structure  machine learning  deep learning  
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：105/0  |  提交时间：2023/11/16
Airport traffic flow  predictive models  deep learning  causality graph  spatiotemporal analysis  
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：144/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：146/0  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 卷号: 138, 页码: 25
作者:  Wang, Yibing;  Wang, Long;  Guo, Jingqiu;  Papamichail, Ioannis;  Papageorgiou, Markos;  Wang, Fei-Yue;  Bertini, Robert;  Hua, Wei;  Yang, Qinmin
收藏  |  浏览/下载：152/0  |  提交时间：2022/07/25
Ego-efficient Lane Changes  Traffic Flow Impacts  Microscopic Simulation  Reinforcement Learning  
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(4046Kb)  |  收藏  |  浏览/下载：264/26  |  提交时间：2022/06/10
Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：292/69  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
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：387/72  |  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  
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：300/59  |  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