BAuD II: Big Automotive Data
Purpose and goal
The BAuD II has successfully brought together industry, SME and academia in a fruitful collaboration. The goals achieved follows: - Knowledge build-up and technology development regarding highly scalable technological frameworks for capturing and analyzing both subjective and objective data about customer needs and vehicle performance. - A proof-of-concept implementation showing how to connect the telematics and analytics framework developed with a smartphone app for connected subjective data capture. -Design of a knowledge base for decision making in product development.
Expected results and effects
The project has produced both industrial and academic results. New software modules for telematics and analytics have been developed and tested, a smartphone app and supporting back-end app service architecture has been developed and tested. Scientific results have been produced mainly in the field of information security and privacy, but also regarding novel concepts for data capture and analytics in the automotive industry. The expected effect from industrial implementation of results is improved knowledge-driven product development processes in the automotive sector.
Planned approach and implementation
The project has been a demand-driven research and development project with a clear emphasis on improving industrial competitiveness. Agile software development methodology has been employed in the development work packages. Proof-of-concept implementations of new technology components have been tested on test vehicles for use cases in hybrid and electric propulsion and active safety. Academic dissemination of results have been throug conference participation, scientific publications. One licentiate degree has been awarded for work carried out within the project.