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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
Authors:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Favorite  |  View/Download:4/0  |  Submit date:2022/09/19
Reinforcement learning  Pricing  Heuristic algorithms  Supply and demand  Surges  Vehicle dynamics  Vehicles  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
Authors:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  Favorite  |  View/Download:17/2  |  Submit date:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
基于稀疏正则化的卷积神经网络模型剪枝方法 期刊论文
计算机工程, 2021, 卷号: 47, 期号: 10, 页码: 61-66
Authors:  韦越;  陈世超;  朱凤华;  熊刚
Adobe PDF(1647Kb)  |  Favorite  |  View/Download:25/2  |  Submit date:2022/04/08
深度学习, 模型剪枝 , 卷积神经网络 , 稀疏约束, 模型压缩  
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
Authors:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
Favorite  |  View/Download:25/0  |  Submit date:2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation 会议论文
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021-6-19
Authors:  Fan, Siqi;  Dong, Qiulei;  Zhu, Fenghua;  Lv, Yisheng;  Ye, Peijun;  Wang, Feiyue
Adobe PDF(4245Kb)  |  Favorite  |  View/Download:23/1  |  Submit date:2022/06/16
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 11
Authors:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng;  Ma, Xiaoliang;  Wang, Fei-Yue
Favorite  |  View/Download:23/0  |  Submit date:2022/01/27
Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system  
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
Authors:  Xiong, Gang;  Li, Zhishuai;  Wu, Huaiyu;  Chen, Shichao;  Dong, Xisong;  Zhu, Fenghua;  Lv, Yisheng
Favorite  |  View/Download:58/0  |  Submit date:2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
Authors:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  Favorite  |  View/Download:29/1  |  Submit date:2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
基于注意力机制和分时图卷积的公交客流预测 期刊论文
模式识别与人工智能, 2021, 卷号: 34, 期号: 2, 页码: 167-175
Authors:  张伟;  朱风华;  吕宜生;  陈圆圆
Adobe PDF(955Kb)  |  Favorite  |  View/Download:83/14  |  Submit date:2021/05/27
智能交通  公交客流预测  递归神经网络  通道注意力模块  分时图卷积  
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
Authors:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  Favorite  |  View/Download:45/2  |  Submit date:2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning