Nowadays, the anticipation of parking-space demand is an instrumental service in order to reduce traffic congestion levels urban spaces. The purpose our work study, design and develop a parking-availability predictor that extracts knowledge from human mobility data, based on anonymized displacements area, also weather conditions. Most existing solutions for this prediction take as contextual da...