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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：10/0  |  Submit date：2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
Authors:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Favorite  |  View/Download：9/0  |  Submit date：2021/03/29
Feature extraction  Object detection  Detectors  Proposals  Convolution  Semantics  Estimation  Anchor-free detector  foreground region proposal  object detection  
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：4/0  |  Submit date：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
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：18/2  |  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  
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
Authors:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
Favorite  |  View/Download：3/0  |  Submit date：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
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
Authors:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
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Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
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
Authors:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
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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  
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
Authors:  Xueliang Zhao;  Zhishuai Li;  Discover Trip Purposes from Cellular Network Data with Topic Modelling;  Yisheng Lv
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trip purpose  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
Authors:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
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Traffic Flow Prediction  Ensemble Learning  Deep Learning  
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis 期刊论文
IEEE Transactions on Cybernetics, 2020, 卷号: 99, 期号: 1, 页码: 1-10
Authors:  Peijun Ye;  Bin Tian;  Yisheng Lv;  Qijie Li;  Fei-Yue Wang
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Agent-based simulation, bilevel optimization, iterative proportional updating (IPU), population synthesis