Traffic prediction Universiteit Antwerpen
Example embodiments describe a computer implemented method for training a learning model for traffic prediction at respective localities by means of a learning system comprising a convolution engine and an encoder-decoder, the method comprising: constructing a graph representation of the localities based on a spatial relation between the respective localities; populating the constructed graph with traffic data characterizing the traffic in the respective localities at respective time periods; convolving, by the convolution engine, for a respective locality and for a respective time period, ...