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CASIA OpenIR
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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：260/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
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：365/123  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 14
作者:  Xiong, Gang;  Li, Zhishuai;  Wu, Huaiyu;  Chen, Shichao;  Dong, Xisong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：228/0  |  提交时间：2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：226/52  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation 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(616Kb)  |  收藏  |  浏览/下载：216/78  |  提交时间：2022/06/16
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：211/86  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：442/226  |  提交时间：2020/10/15
Intelligent transportation systems  
A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction 会议论文
, Auckland, New Zealand, 2019-10-27
作者:  Zhishuai Li;  Gang Xiong;  Yuanyuan Chen;  Yisheng Lv;  Bin Hu;  Fenghua Zhu;  Fei-Yue Wang
Adobe PDF(305Kb)  |  收藏  |  浏览/下载：294/63  |  提交时间：2020/10/15
A Control Strategy Combined Thermostat Control with DC-Link Voltage Control for Series Hybrid Electric Vehicles 会议论文
, Maui, Hawaii, USA, Nov. 4-7, 2018
作者:  Can Luo;  Zhen Shen;  Simos Evangelou;  Gang Xiong;  Wang X(王晓);  Yisheng Lv;  Xisong Dong;  Fenghua Zhu;  Fei-Yue Wang
浏览  |  Adobe PDF(837Kb)  |  收藏  |  浏览/下载：243/65  |  提交时间：2019/08/28
Series Hybrid Electric Vehicles  
Parallel Traffic Management System and Its Application to the 2010 Asian Games 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 1, 页码: 225-235
作者:  Xiong, Gang;  Dong, Xisong;  Fan, Dong;  Zhu, Fenghua;  Wang, Kunfeng;  Lv, Yisheng
浏览  |  Adobe PDF(1088Kb)  |  收藏  |  浏览/下载：345/88  |  提交时间：2015/08/12
Artificial Transportation System (Ats)  Artificial Systems  Field Data  Computational Experiments  Parallel System  And Parallel Execution (Acp) Approach  Video Detection