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CASIA OpenIR
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DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond 期刊论文
IEEE Intelligent Transportation Systems Magazine, 2022, 卷号: 14, 期号: 6, 页码: 6-17
作者:  Zhao, Chen;  Lv, Yisheng;  Jin, Junchen;  Tian, Yonglin;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：34/10  |  提交时间：2024/05/28
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：176/7  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
Cyber-Physical-Social Systems for Smart City: An Implementation Based on Intelligent Loop 会议论文
, 北京, 2020-12-5
作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua;  Qu, Tianci;  Ye, Peijun
Adobe PDF(457Kb)  |  收藏  |  浏览/下载：207/60  |  提交时间：2022/06/16
Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network 会议论文
, Spain, 2015
作者:  Gang XIONG;  Wenwen Kang;  Fei-Yue Wang;  Fenghua Zhu;  Yisheng Lv;  Xisong Dong;  Jukka Riekki;  Susanna Pirttikangas
浏览  |  Adobe PDF(383Kb)  |  收藏  |  浏览/下载：336/88  |  提交时间：2017/12/31
A cellular automata based evacuation model on GPU platform 会议论文
Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems, Anchorage, AK, 2012
作者:  Miao, Qinghai;  Lv,Yisheng;  Zhu, Fenghua
Adobe PDF(532Kb)  |  收藏  |  浏览/下载：259/83  |  提交时间：2016/04/04
Traffic Flow Prediction With Big Data: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 865-873
作者:  Lv, Yisheng;  Duan, Yanjie;  Kang, Wenwen;  Li, Zhengxi;  Wang, Fei-Yue
Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：3852/2349  |  提交时间：2015/09/21
Deep Learning  Stacked Autoencoders (Saes)  Traffic Flow Prediction