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CASIA OpenIR
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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：59/20  |  提交时间：2024/05/28
Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216
作者:  Li, Xuan;  Teng, Siyu;  Liu, Bingzi;  Dai, Xingyuan;  Na, Xiaoxiang;  Wang, Fei-Yue
收藏  |  浏览/下载：129/0  |  提交时间：2023/11/17
Testing  Safety  Autonomous vehicles  Roads  ISO Standards  Calibration  Standards  Scenarios engineering  autonomous vehicles  parallel intelligence  simulation scenarios  real-road testing  
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：130/0  |  提交时间：2023/11/17
Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel control  
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：127/27  |  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：215/67  |  提交时间：2022/10/11
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：249/83  |  提交时间：2022/06/16
Investigating the dynamic memory effect of human drivers via ON-LSTM 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 11
作者:  Dai, Shengzhe;  Li, Zhiheng;  Li, Li;  Cao, Dongpu;  Dai, Xingyuan;  Lin, Yilun
Adobe PDF(325Kb)  |  收藏  |  浏览/下载：315/62  |  提交时间：2020/12/04
driving behavior  memory effect  trajectory prediction  historical information  ON-LSTM  
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：379/40  |  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
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：384/165  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
人工智能研究的新前线：生成式对抗网络 期刊论文
自动化学报, 2018, 卷号: 44, 期号: 5, 页码: 775-792
作者:  林懿伦;  戴星原;  李力;  王晓;  王飞跃
浏览  |  Adobe PDF(6766Kb)  |  收藏  |  浏览/下载：706/226  |  提交时间：2018/10/10
深度学习  生成式对抗网络  生成模型  对抗学习  平行学习