↪︎ Traffic Volume Forecasting with Graph Neural Networks
Can we use geometric priors to improve traffic volume forecasting? In this project, we use Graph Neural Networks (GNNs) to predict traffic volume in western Norway (Bergen area) using historical traffic data. Using both a manually crafted graph encoding road connectivity and a nearest neighbor graph based on sensor locations. I did this project as part of the course INF367A on geometric deep learning at the University of Bergen during my PhD.
