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CASIA OpenIR
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Empirical Learning of Decision Parameters for Agent-Based Model 会议论文
, Macau, China, 2022
作者:  Song B(宋冰);  Xiong G(熊刚);  Zhu F（朱凤华）;  Wu X（武许可）;  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1359Kb)  |  收藏  |  浏览/下载：148/51  |  提交时间：2023/06/26
Calibration of Agent-Based Model Using Reinforcement Learning 会议论文
, Beijing, 2021
作者:  Song B(宋冰);  Xiong G(熊刚);  Yu S（于松民）;  Ye P（叶佩军）;  Dong X（董西松）;  Lv Y（吕宜生）
Adobe PDF(437Kb)  |  收藏  |  浏览/下载：132/50  |  提交时间：2023/06/26
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：278/33  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
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：181/51  |  提交时间：2022/06/16
A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling 会议论文
, Indianapolis, IN, USA, 19-22 Sept. 2021
作者:  Yin Wang;  Yisheng Lv;  Jianying Zhou;  Zhiming Yuan;  Qi Zhang;  Min Zhou
Adobe PDF(1210Kb)  |  收藏  |  浏览/下载：175/49  |  提交时间：2022/04/08
Discover Trip Purposes from Cellular Network Data with Topic Modelling 期刊论文
IEEE Intelligent Transportation Systems Magazine, 2020, 卷号: 99, 期号: 1, 页码: 0-0
作者:  Xueliang Zhao;  Zhishuai Li;  Discover Trip Purposes from Cellular Network Data with Topic Modelling;  Yisheng Lv
浏览  |  Adobe PDF(2244Kb)  |  收藏  |  浏览/下载：219/61  |  提交时间：2020/10/15
trip purpose  
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis 期刊论文
IEEE Transactions on Cybernetics, 2022, 卷号: 52, 期号: 3, 页码: 1726-1735
作者:  Peijun Ye;  Bin Tian;  Yisheng Lv;  Qijie Li;  Fei-Yue Wang
浏览  |  Adobe PDF(1310Kb)  |  收藏  |  浏览/下载：183/44  |  提交时间：2020/10/15
Agent-based simulation, bilevel optimization, iterative proportional updating (IPU), population synthesis  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：373/66  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
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：575/280  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data  
A deep learning based approach for traffic data imputation 会议论文
IEEE International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014
作者:  Yanjie Duan;  Yisheng Lv;  Wenwen Kang;  Yifei Zhao
Adobe PDF(549Kb)  |  收藏  |  浏览/下载：413/175  |  提交时间：2015/08/19