Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders
Fabian Netzler,
Markus Lienkamp
Abstract:This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the tracked mobility behavior of individuals and creates coherent syntheti… Show more
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