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Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Mobility-on-demand system  vehicle repositioning  hierarchical graph reinforcement learning  auxiliary graph reinforcement learning  
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Gao, Yuan;  Guo, Yu;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Intelligent transportation system (ITS)  transportation surveillance  low-light image enhancement  ultra-high-definition (UHD)  double domain guidance  
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：109/0  |  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  
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：67/0  |  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：131/0  |  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：168/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
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：273/0  |  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  
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：193/0  |  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  
A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles in Multi-Lane Signal-Free Intersections 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Xu, Huile;  Xiao, Wei;  Cassandras, Christos G.;  Zhang, Yi;  Li, Li
收藏  |  浏览/下载：216/0  |  提交时间：2022/06/06
Optimal control  Safety  Trajectory  Roads  Vehicle dynamics  Optimization  Automation  Connected and automated vehicles (CAVs)  optimal control  control barrier function (CBF)  
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：453/78  |  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