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PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks

Reference number
Coordinator Mälardalens Universitet - Akademin för innovation, design och teknik, Västerås
Funding from Vinnova SEK 5 528 609
Project duration September 2020 - August 2025
Status Completed
Venture Electronics, software and communication - FFI
Call Electronics, software and communication - FFI - 2019-12-10

Important results from the project

Yes, the project met all goals and produced significant results. Planned 15 deliverables grew to 38, including 35 publications (1 PhD thesis, 1 Licentiate thesis, 7 journals articles, 24 conferences). We developed TSN-5G software modeling, timing analysis, and integration techniques, implemented in the Rubus-ICE industrial toolchain and validated on an industrial use case: teleoperation of a truck-mounted crane. The results are expected to strengthen the development of future vehicular systems.

Expected long term effects

The project’s results will enable next-generation vehicular functions requiring high-bandwidth, low-latency, and reliable communication. Developed TSN-5G integration techniques support safe, predictable V2X and onboard communication, influencing future design choices and accelerating innovation for autonomous and connected vehicles in industrial contexts such as autonomous quarries, recycling sites, and mines, contributing to safer, more efficient, and sustainable transport systems worldwide.

Approach and implementation

Despite the impact of Covid-19, the project produced significant results and was extended by VINNOVA for 1 year. The results are implemented and usability demonstrated through (i) tool prototypes and an industrial use-case (ii) an efficient design methodology. The consortium established a strong value chain: MDU co-developed scientific techniques together with all partners, Arcticus implemented them in industrial tools, and HIAB applied them in the use case, with feedback enabling refinement.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 7 January 2026

Reference number 2019-05885