most citedA Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency

Xinglei Wang, Xuefeng Guan, Jun Cao +2

Obtaining accurate information about future traffic flows of all links in a traffic network is of great importance for traffic management and control applications. This research st…

cs.CV2019★ 9 cited

A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network

Na Zhang, Xuefeng Guan, Jun Cao +2

Traffic forecasting is crucial for urban traffic management and guidance. However, existing methods rarely exploit the time-frequency properties of traffic speed observations, and…