AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2

Important results from the project

New vehicle functions and services will increasingly rely on real-time streaming of sensor data between vehicles and cloud infrastructures. This requires efficient and scalable data processing technology for the transmission and analysis of data from a distributed fleet of vehicles, which also takes into account security and privacy issues. The aim of the AutoSPADA project is to develop and implement scalable and flexible platforms for distributed analysis of streaming data involving computational resources on vehicles as well as on backend servers.

Expected long term effects

Throughout this research project, several complementary research threads were explored, towards the goal of improving localization and value extraction from large volumes of distributed data sensed by vehicular fleets. Each research thread not only advanced the state of the art but also laid the groundwork for future steps, both within the same research thread and through merging and complementing the various research threads.This project has contributed to maintaining Sweden´s position both in automotive technology development and ICT development.

Approach and implementation

The work conducted in AutoSPADA is contains 7 WPs in total and focus on the use-case-driven research. WP 1: Management, Administration, coordination WP 2: Use cases definitions and requirements, workshop by VCC WP3: Interviews & surveys for use-case needs, agile software dev, roadmap. WP4: Distributed stream processing, Led by Industrial Ph.D., academia-industry collab, Volvo testing. WP5: Privacy evaluation, Literature review, req. spec. WP6: Agile, concept testing, real-data, privacy check. WP 7 Dissemination and demonstration, Workshops, conf. participation, reports