中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共3条，第1-3条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
State-of-the-Art Pedestrian and Evacuation Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 5, 页码: 1849-1866
作者:  Dong, Hairong;  Zhou, Min;  Wang, Qianling;  Yang, Xiaoxia;  Wang, Fei-Yue
收藏  |  浏览/下载：224/0  |  提交时间：2020/06/22
Mathematical model  Data collection  Data models  Analytical models  Computational modeling  Vehicle dynamics  Dynamics  Pedestrian dynamics  evacuation dynamics  data collection  mathematical modelling  fundamental diagram  
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：352/64  |  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  
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：262/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning