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CASIA OpenIR

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ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩ 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 卷号: 152, 页码: 27
作者:  Liu, Xuan;  Zhou, Min;  Dong, Hairong;  Wu, Xingtang;  Li, Yidong;  Wang, Fei-Yue
收藏  |  浏览/下载：50/0  |  提交时间：2023/11/17
Timetable rescheduling  Platforming  Uncertain perturbation  Model predictive control  Alternative direction method of multipliers  
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：126/0  |  提交时间：2022/07/25
Ego-efficient Lane Changes  Traffic Flow Impacts  Microscopic Simulation  Reinforcement Learning  
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：295/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Modeling real-time human mobility based on mobile phone and transportation data fusion 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 卷号: 96, 页码: 251-269
作者:  Huang, Zhiren;  Ling, Ximan;  Wang, Pu;  Zhang, Fan;  Mao, Yingping;  Lin, Tao;  Wang, Fei-Yue
收藏  |  浏览/下载：311/0  |  提交时间：2019/01/08
Human mobility  Travel demand estimation  Big data  Data fusion  
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：546/269  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data  
Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 卷号: 51, 页码: 19-28
作者:  Li, Ye;  Wang, Fei-Yue
收藏  |  浏览/下载：147/0  |  提交时间：2015/09/18
Vehicle Detection  And-or Graph  Hybrid Image Templates  
Vehicle detection grammars with partial occlusion handling for traffic surveillance 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 卷号: 56, 期号: 0, 页码: 80-93
作者:  Tian, Bin;  Tang, Ming;  Wang, Fei-Yue;  Tian,Bin
浏览  |  Adobe PDF(2568Kb)  |  收藏  |  浏览/下载：247/67  |  提交时间：2015/09/17
Computer Vision  Grammar Model  Occlusion Handling  Part-based Object Detection  Vehicle Detection