The dataset provided here is an output of the Track & Know project, shared with the scientific community. The dataset consists of aggregate origin-destination (OD) flows of private cars in London augmented with feature data describing city locations and dyadic relations between them. The geographical location of each cell in the OD graph is not provided, for privacy protection, since the extension of each area is relatively small. The dataset was first used in the following publication:  Gevorg Yeghikyan, Felix L. Opolka, Bruno Lepri, Mirco Nanni, Pietro Lio`. Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. 2020 IEEE International Conference on Smart Computing (SMARTCOMP), to appear.