Integrating knowledge representation into traffic prediction: a spatial–temporal graph neural network with adaptive fusion features
Abstract Various external factors that interfere with traffic flow, such as weather conditions, traffic accidents, incidents, and Points of Interest (POIs), need to be considered in performing traffic forecasting tasks. However, the current research methods encounter difficulties in effectively inco...
| 主要な著者: | , , , , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Springer
2023-12-01
|
| シリーズ: | Complex & Intelligent Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40747-023-01299-7 |