Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy


Abstract

Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation planning to epidemic modeling. However, issues must be overcome to best serve these use cases: The data often represent a limited sample of the population and use of the data jeopardizes privacy.


Citation

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
Berke, Alex and Doorley, Ronan and Larson, Kent and Moro, Esteban
arXiv (2022) [Full Text]