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CampaNeo

The aim of the project is to develop an independent platform that enables public and private institutions to collect and analyze real time vehicular data with campaigns.

To this extend, a prototype of the platform is developed that allows for secure campaign based data collection in Hanover, Wolfsburg and cross-regional scenarios. Moreover, intelligent use cases that rely on the campaign data are going to be implemented. The focus of the project lies on data ownership of the  vehicle owners as well as the tractability of the data processing.

Description

The project aims to enable the campaign based collection of personally identifiable data to make vehicular data easily accessible. This is in particular challenging due to the  slow and expensive development cycles of vehicle hardware as well as the necessary consent of the vehicle driver that results from the new European data protection agreement. A general consent for the use of the data is legally no longer allowed and hence mitigates the campaign based use of vehicular data. Therefore, new approaches are required to overcome the technical and legal challenges.

CampaNeo provides direct feedback of added value to the users in order to motivate the users to share their data. The data can, for instance ,be used in the following use cases:

For drivers and fleet owners (driver centric)

Driver detection based on driving behavior

Calculation of driver efficiency scores, e.g. prediction of fuel consumption, particulate matter emission based on vehicular sensor data

For city administrations and traffic authorities:

Measurement of road conditions, e..g slipperiness, temperatures, weather in campaigns

To this extend,  the project will develop an independent platform that enables public and private institutions to collect and analyze real time vehicular data with campaigns. The projects builds on the principal assumption that users are willing to share their data given that they are provided an expected return value, e.g. lowering the number of accidents and follow up accidents. The resulting platform will be designed to be open accessible, e.g. for other manufacturers and use cases.

Team
Research area
Intelligent Access to Information
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