Hourly forecasting of traffic flow rates using spatial temporal graph neural networks
Description
Traffic congestion forms a large problem in many major metropolitan regions around the world, leading to delays and societal costs. As people resume travel upon relaxation of COVID-19 restrictions and personal mobility returns to levels prior to the
