3 papers
cs.CR2024
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review
Alexandra Kapp, Julia Hansmeyer, Helena MihaljeviÄ
Although highly valuable for a variety of applications, urban mobility data is rarely made openly available as it contains sensitive personal information. Synthetic data aims to so…
cs.CR2024
Collection, usage and privacy of mobility data in the enterprise and public administrations
Alexandra Kapp
Human mobility data is a crucial resource for urban mobility management, but it does not come without personal reference. The implementation of security measures such as anonymizat…
cs.CR2024
Reconsidering utility: unveiling the limitations of synthetic mobility data generation algorithms in real-life scenarios
Alexandra Kapp, Helena MihaljeviÄ
In recent years, there has been a surge in the development of models for the generation of synthetic mobility data. These models aim to facilitate the sharing of data while safegua…