Spatio‐temporal adaptive graph convolutional networks for traffic flow forecasting
Abstract Accurate forecasting of traffic flow is crucial for intelligent traffic control and guidance. It is very challenging to forecast the traffic flow due to the high non‐linearity, complexity and dynamicity of the data. Most existing forecasting methods focus on designing complicated graph neur...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-04-01
|
| Series: | IET Intelligent Transport Systems |
| Online Access: | https://doi.org/10.1049/itr2.12296 |