Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

AI AWARE Scale Up

Reference number
Coordinator Volvo Personvagnar AB - Volvo Car Corporation
Funding from Vinnova SEK 4 800 000
Project duration September 2022 - December 2023
Status Completed
Venture Strategic Innovation Program Drive Sweden

Important results from the project

The AI Aware Scale-Up project combined the successful implementation of an AI-powered data fusion platform with the innovative Safe Speed concept, significantly enhancing traffic safety and management. Its ability to integrate diverse data sources for real-time traffic analysis and accident risk prediction is a notable achievement. The project demonstrated its impact through various events, establishing itself as a leader in AI- driven traffic safety solutions.

Expected long term effects

The project has lead to results that push the limits of what was earlier thought to be possible as regards situational awareness in traffic, full circle learning models for accident risk estimation and safe speed recommendations.This will lead to both public and private actors developing future plans with possible implementation of new traffic safety promoting content. The project will most certainly also lead to new research projects exploring further into this area.

Approach and implementation

The project has been executed in true collaborative manner with a very agile approach. Weekly project sync meetings have been held with the project parties and weekly tech scrums have been arranged between the developers. Adding to this multiple joint activities, workshops, meetings and presentations have been performed. All this wile following the goals set up for the project. Multiple data licensing agreements have been set up to enable the needed data access. Handson coding and development has been performed throughout the project.

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

Last updated 9 February 2024

Reference number 2022-02749