most citedMultimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network

16 citations · 16 across the 1 of their papers we have counts for

collaborators

1 paper

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…