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CASIA OpenIR
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Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply-Demand Balance Control 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 18
作者:  Shang, Chunlin;  Zhu, Fenghua;  Xu, Yancai;  Liu, Xiaoming;  Jiang, Tianhua
收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17
intelligent transportation system  hierarchical multi-objective optimization  driving speed decision-making  dedicated bus  Lagrangian multiplier method  
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：293/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：225/76  |  提交时间：2022/06/16
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：392/131  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, 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：460/230  |  提交时间：2020/10/15
Intelligent transportation systems  
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
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：229/91  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 5, 页码: 2180-2189
作者:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
浏览  |  Adobe PDF(2643Kb)  |  收藏  |  浏览/下载：304/88  |  提交时间：2019/10/10
Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
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：263/70  |  提交时间：2019/08/28
Series Hybrid Electric Vehicles  
Parallel Transportation Management and Control System for Subways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1974-1979
作者:  Xiong, Gang;  Shen, Dayong;  Dong, Xisong;  Hu, Bin;  Fan, Dong;  Zhu, Fenghua
浏览  |  Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：523/214  |  提交时间：2017/09/12
Subways  Acp Approach  Status Perception  Artificial Subway System  Computational Experiments Platform  Parallel Execution System  
Parallel Transportation Management and Control System and Its Applications in Building Smart Cities 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1576-1585
作者:  Zhu, Fenghua;  Li, Zhenjiang;  Chen, Songhang;  Xiong, Gang
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：559/217  |  提交时间：2016/10/20
Intelligent Transportation Systems (Its)  Artificial System  Computational Experiment And Parallel Execution (Acp) Approach  Parallel Transportation Management And Control System (Ptms)  Computational Experiment  Its Cloud  Social Transportation  Transportation Knowledge Automation