16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 16 cited
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang, Jiangnan Yan, Kemal Polat +2
Traffic flow prediction plays a crucial role in the management and operation of urban transportation systems. While extensive research has been conducted on predictions for individ…
cs.CV2024
Multi-View Fusion Neural Network for Traffic Demand Prediction
Dongran Zhang, Jun Li
The extraction of spatial-temporal features is a crucial research in transportation studies, and current studies typically use a unified temporal modeling mechanism and fixed spati…