most citedSituational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 3 cited

Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires

Xiaojian Zhang, Xilei Zhao, Yiming Xu +2

Real-time forecasting of travel demand during wildfire evacuations is crucial for emergency managers and transportation planners to make timely and better-informed decisions. Howev…