Big Automotive Data: Leveraging large volumes of captured data for knowledge-driven product development

Purpose and goal

The objective of the project has been to develop new analysis methods and tools for vehicle-related data, a technological framework for large-scale data collection and integrated analysis, and to achieve higher quality in the product development process through earlier access to knowledge about the product´s features and functions related to customers needs. Published scientific results within the Big Data field has also been a goal of the project. The above objectives have been met in accordance with the project plan.

Results and expected effects

The main results of the project are: - New analysis methods and tools - A technological framework for large-scale data collection and integrated analysis - A higher quality development process based on a knowledge driven product development - Published scientific results The main effects of the project are: - Products with higher quality, in features and functions - The ability to translate large amounts of collected data into useful knowledge in product development - Integration of a technological framework for capture and analysis of data into the IT infrastructure at Volvo Cars

Approach and implementation

The project´s approach has been to design a prototype technological framework for scalable and generic data capture and integrated analytics. Novel analysis methods and tools have also been developed, implemented into the analytics framework, and tested in two ongoing development projects at Volvo Cars: one related to active safety development and the other related to battery development for hybrid vehicles. Scientific publication of research results has also been conducted.