Traffic flow forecasting is a highly challenging task due to the dynamic spatial-temporal road conditions. Graph neural networks (GNN) has been widely applied in this task....
The traffic forecasting problem can be categorized into three types, namely, based on the length of prediction, i.e., short-term (less than 30 min) and long term(30 ∼ 60 min).
Urban traffic speed prediction aims to estimate the future traffic speed for improving urban transportation services. The proposed framework is a generic wrapper-style solution...
