Will this new tech save lives on the roads?
Will this new tech lives on the roads? That's the burning question behind SAFER partners’ latest project, “Predictive Threat Assessment for Enhanced Stability of Multi-Unit Heavy Vehicles (MHVs)”. As trucks continue to be involved in roll-overs and road run-offs, traditional Advanced Driver Assistance Systems (ADAS) are struggling to keep up. But what if we told you there’s a way to predict these dangerous situations before they happen?
This research project aims to further enhance vehicle safety by giving ADAS the ability to act not just reactively, but proactively. By leveraging Predictive Threat Assessment (PTA) tools, the project seeks to create earlier, smarter, and less intrusive interventions that could be a game-changer in preventing accidents involving MHVs.
The ultimate goal? A drastic reduction in roll-overs and run-off-road accidents (over-speed in corner) for heavy vehicles, ensuring safer roads for everyone. Headed by Volvo Technology AB and Chalmers University of Technology, this 3-year research project can build valuable knowledge towards our joint vision in SAFER. The precision of these predictive models will be tested in real-world driving scenarios, proving that stability events can be detected seconds before they happen.
With a budget of 8.8 MSEK funded by Vinnova FFI, and collaborations between industry and academia, this project may lead the charge towards a future where accidents are predicted before they occur.
Short facts about the project
- Full Title: Predictive Threat Assessment for Enhanced Stability of Multi-Unit Heavy Vehicles
- Main objective: To develop a predictive threat assessment framework that enhances ADAS for MHVs, reducing roll-overs and run-off-road accidents.
- Duration: November 2023 – December 2026
- Budget: 8.8 MSEK
- Funded by: Vinnova FFI
- Project Lead: Volvo Technology AB, in collaboration with Chalmers University of Technology
- PhD Student: Lei Ni, Volvo Technology and Chalmers
- Contact Person: Leon Henderson, Volvo Technology