Pre-Trained Bidirectional Temporal Representation for Crowd Flows Prediction in Regular Region
Deep learning-based methods for predicting spatial-temporal data such as crowd flows need to consider both spatial dependency and temporal dependency. Previous research mainly focused on modeling spatial dependency, whereas studies on temporal dependency are few. Existing finite deep learning-based...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8854786/ |