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CASIA OpenIR

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Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 页码: 27
作者:  Zhao, Tianhong;  Huang, Zhengdong;  Tu, Wei;  Biljecki, Filip;  Chen, Long
收藏  |  浏览/下载：16/0  |  提交时间：2023/11/16
Graph deep learning  multiview learning  travel demand prediction  multimodal transportation  smart card data  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：229/29  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
A Dissemination Model Based on Psychological Theories in Complex Social Networks 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022, 卷号: 14, 期号: 2, 页码: 519-531
作者:  Luo, Tianyi;  Cao, Zhidong;  Zeng, Daniel;  Zhang, Qingpeng
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载：218/39  |  提交时间：2022/07/12
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：349/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：88/19  |  提交时间：2023/06/26
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：162/45  |  提交时间：2022/10/11
Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm 会议论文
, Beijing, China, 2021-7-15
作者:  Zhishuai Li;  Gang Xiong;  Yu Zhang;  Meng Zheng;  Xisong Dong;  Yisheng Lv
Adobe PDF(345Kb)  |  收藏  |  浏览/下载：196/55  |  提交时间：2022/06/16
An IVC-Based Nuclear Emergency Parallel Evacuation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 4, 页码: 844-855
作者:  Tan, Ke;  Yang, Linyao;  Liu, Xin;  Xu, Yancai;  Lin, Jiazhen;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：237/35  |  提交时间：2021/11/02
Computational modeling  Planning  Optimization  Roads  Mathematical model  Collaboration  Power generation  ACP  intelligent vehicle collaborative system  nuclear evacuation  optimization  parallel intelligence  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载：211/0  |  提交时间：2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
Evolving Container to Unikernel for Edge Computing and Applications in Process Industry 期刊论文
PROCESSES, 2021, 卷号: 9, 期号: 2, 页码: 18
作者:  Chen, Shichao;  Zhou, Mengchu
Adobe PDF(619Kb)  |  收藏  |  浏览/下载：207/41  |  提交时间：2021/03/29
big data analytics  lightweight virtualization  cloud computing  edge computing  industrial process  Industry 4.0  Internet of things  machine learning  process industry  fault diagnosis