In this project, a producer-independent platform is being developed which would enable private and public institutions to collect and analyze vehicle data in real time based on campaigns. The aim is to build a prototypical platform for secure campaign-based data collection in Hanover, Wolfsburg and in nationwide scenarios, as well as to implement the first intelligent use cases based on the campaign data. Especially the data ownerships of the vehicle owners and the traceability of data processing are at the focus of this project.
In this project, we intend to establish campaign skills for collection of personal vehicle data, which should help overcoming current obstacles and make vehicle data more easily accessible. Against the easy data collection stand slow and expensive development cycles in the vehicle hardware, as well as the requirements of the new basic data protection regulation regarding the driver's consent to use the data.
A blanket consent to use vehicle data is no longer compliant with the law and thus prevents volume manufacturers from launching good campaigns. New approaches are therefore required to overcome the technical and legal hurdles.
In the CampaNeo project, users in particular should be encouraged to share their own vehicle data by directly demonstrating them the added value generated by these data.
These vehicle data can be used for example for the following use cases:
For drivers and fleet operators (driver-centered):
Recognition of drivers based on their driving behavior.
Collection of driver efficiency scores, such as e.g. forecast of fuel consumption, particulate matter emissions or driving comfort based on vehicle end sensor data.
For city administration and traffic management (system-centered):
Collection of road condition data such as ice, outside temperatures, weather conditions, air pressure for campaigns.
In this project, an open platform is being developed which would enable private and public institutions to collect and analyze vehicle data in real time based on campaigns.
This is based on the assumption that users are in principle willing to share their data if they are provided with a clear added value, e. g. the prevention of subsequent accidents. The consortium, the system architecture, as well as the thematic focus are designed to prepare the system for a serial development subsequent to the project period. The resulting platform is to be opened to other manufacturers and use cases.