Forecasting real-time travel demand during wildfire evacuations: A situational-aware multi-graph convolutional recurrent network (SA-MGCRN) approach
Published in Transportation Research Board 102nd Annual Meeting, 2023
Citation: ‘ Yiming Xu, Ruoyang Xiong, Ruggiero Lovreglio, Daniel Nilsson, Xilei Zhao, "Forecasting real-time travel demand during wildfire evacuations: A situational-aware multi-graph convolutional recurrent network (SA-MGCRN) approach." Transportation Research Board 102nd Annual Meeting, 2023.’