Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting
Accurate traffic forecasting is a key part of intelligent transport systems, facilitating a variety of urban application services such as trip alerting, route planning and traffic management. However, due to the spatial and temporal correlations of the dynamic, this issue is not well addressed. In t...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10795127/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|