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CASIA OpenIR
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Parallel Learning Based Foundation Model for Networked Traffic Signal Control 会议论文
, Bilbao, Bizkaia, Spain, 2022-9-24
作者:  Zhao, Chen;  Dai, Xingyuan;  Chen, Yuanyuan;  Yilun, Lin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1112Kb)  |  收藏  |  浏览/下载：8/4  |  提交时间：2024/05/28
Learning Transformer-based Cooperation for Networked Traffic Signal Control 会议论文
, Macau, China, 2022-10
作者:  Zhao, Chen;  Dai, Xingyuan;  Wang, Xiao;  Li, Lingxi;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：14/6  |  提交时间：2024/05/28
AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881
作者:  Yuanqi Qin;  Wen Hua;  Junchen Jin;  Jun Ge;  Xingyuan Dai;  Lingxi Li;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：102/18  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction  
Traffic Signal Control Using Offline Reinforcement Learning 会议论文
, Beijing, 2021-10
作者:  Dai, Xingyuan;  Zhao, Chen;  Li, Xiaoshuang;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：192/56  |  提交时间：2022/10/11
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：342/30  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
Adobe PDF(623Kb)  |  收藏  |  浏览/下载：366/158  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
DeepTrend: A deep hierarchical neural network for traffic flow prediction 会议论文
, Yakahama, Japan, Oct. 16-19
作者:  Xingyuan Dai;  Rui Fu;  Yilun Lin;  Fei-Yue Wang;  Li Li
浏览  |  Adobe PDF(418Kb)  |  收藏  |  浏览/下载：480/201  |  提交时间：2018/01/08