Sharing urban mobility and public transportation data is critical to use the mobility infrastructure of cities to its fullest potential. For data protection reasons, however, the disclosure of data to the public is restricted and only permitted if …
Anonymization plays a key role in protecting sensible information of individuals in real world datasets. Self-driving cars for example need high resolution facial features to track people and their viewing direction to predict future behaviour and …
The transformation of mobility is on the cusp of a significant shift,driven by data-centric technologies in both individual and public transport. However, this data often contains sensitive private data, which can be used, for instance, for tracking …
In ANYMOS werden Anforderungen und Methoden für eine Anonymisierung und anschließende Auswertung von zuvor personenbezogenen Daten untersucht. Dabei wird im Kompetenzcluster die Anwendungsdomäne Mobilität betrachtet und sich auf den Personenverkehr, …