New Paper “Unveiling spatiotemporal mechanisms of urban traffic: multi-scale determinants and explainable street-level dynamics of a graph neural network in Berlin”

Public traffic speed data usually cover only some parts of city road networks. In this paper, the authors present a clear framework to estimate missing street-level traffic speeds in Berlin. They also show how road structure, population density, street activity, and traffic signals are linked to the predicted speeds.