Generating Synthetic Mobility Networks with Generative Adversarial Networks. (arXiv:2202.11028v1 [cs.LG])

The increasingly crucial role of human displacements in complex societal
phenomena, such as traffic congestion, segregation, and the diffusion of
epidemics, is attracting the interest of scientists from several disciplines.
In this article, we address mobility network generation, i.e., generating a
city's entire mobility network, a weighted directed graph in which nodes are
geographic locations and weighted edges represent people's movements between
those locations, thus describing the entire mobility set flows within a city.
Our solution is MoGAN, a model …

arxiv generative adversarial networks mobility networks