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Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, 20-23 Sept. 2020
作者:  Wei, Zhang;  Fenghua, Zhu;  Yuanyuan, Chen;  Xiao, Wang;  Gang, Xiong;  Fei-Yue, Wang
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：267/66  |  提交时间：2021/05/27
Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural Nets 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 735-744
作者:  Guangyuan Pan;  Liping Fu;  Qili Chen;  Ming Yu;  Matthew Muresan
浏览  |  Adobe PDF(5371Kb)  |  收藏  |  浏览/下载：174/36  |  提交时间：2021/03/11
Deep learning  deep neural network (DNN)  feature importance  road safety performance function  
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 11, 页码: 4516-4525
作者:  Zhu, Yuanheng;  He, Haibo;  Zhao, Dongbin
Adobe PDF(1648Kb)  |  收藏  |  浏览/下载：158/4  |  提交时间：2021/01/06
Cooperative adaptive cruise control  string stability  time-delay system  H-infinity control  linear matrix inequality  
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, September 20-23, 2020
作者:  Wei Zhang;  Fenghua Zhu;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(801Kb)  |  收藏  |  浏览/下载：304/94  |  提交时间：2020/10/20
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
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：284/59  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  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
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：378/66  |  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