Volkswagen Ag

Audi Ag

Christian Alexander Seidel

Stephan Max

Florian Neukart

David Von Dollen

Gabriele Compostella

Technologies and techniques for monitoring and correcting the obfuscation of vehicle-related data. Personal data may be removed from the transmitted vehicle-related data, and the vehicle-related data after the removal of the personal references may be combined to form a vehicle-related data set without personal references. A temporal and spatial obfuscation of the vehicle-related data set may be carried out without personal references based on an estimated size of a cluster of data-collecting vehicles for generating an anonymous data set. The anonymous data set, including the degree of obfuscation, may be provided to a data user and an actual cluster size for a spatial region based on the provided anonymous data sets may be determined and compared with the estimated cluster size used for the obfuscation of the anonymous data set. The comparison result may be then used to correct the obfuscation of the spatial region.

Monitoring and correcting the obfuscation of vehicle related data

A traffic flux maximization method and system to control traffic flow by combining classical computing machine learning to predict traffic flux minimization before its occurrence, with quantum annealing to optimize future positions of vehicles. Vehicles are redirected to minimize the travel time for each vehicle, taking into account other vehicles in the road network.

Growing community of inventors

Bokensdorf, Germany

Christian Alexander Seidel