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.LG2024
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences
Haoxuan Kuang, Kunxiang Deng, Linlin You +1
Electric vehicle charging demand prediction is important for vacant charging pile recommendation and charging infrastructure planning, thus facilitating vehicle electrification and…