1 citations · 1 across the 4 of their papers we have counts for
4 papers
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction
Maoxiang Sun, Weilong Ding, Tianpu Zhang +2
As the development of cities, traffic congestion becomes an increasingly pressing issue, and traffic prediction is a classic method to relieve that issue. Traffic prediction is one…
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation
Tianpu Zhang, Weilong Ding, Mengda Xing
As one of the important tools for spatial feature extraction, graph convolution has been applied in a wide range of fields such as traffic flow prediction. However, current popular…
Phased Deep Spatio-temporal Learning for Highway Traffic Volume Prediction
Weilong Ding, Tianpu Zhang, Zhe Wang
Inter-city highway transportation is significant for citizens' modern urban life and generates heterogeneous sensory data with spatio-temporal characteristics. As a routine analysi…
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction
Weilong Ding, Tianpu Zhang, Jianwu Wang +1
Inter-city highway transportation is significant for urban life. As one of the key functions in intelligent transportation system (ITS), traffic evaluation always plays significant…