TSTA-GCN: trend spatio-temporal traffic flow prediction using adaptive graph convolution network
Abstract Balancing the need to satisfy both long-term and short-term requirements and comprehensively considering spatial and temporal dependencies are key challenges in metro passenger prediction. A trend spatio-temporal adaptive graph convolution network (TSTA-GCN) model for metro passenger flow p...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-96833-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|