TRUST-SOS
Reference number | |
Coordinator | Volvo Construction Equipment AB |
Funding from Vinnova | SEK 8 962 000 |
Project duration | November 2021 - December 2024 |
Status | Ongoing |
Venture | Fossilfria Arbetsmaskiner - FFI |
Purpose and goal
In the project we are developing digitalized services to increase the level of trusted decision making to optimise overall site systems in off-road transport applications. By developing data-driven models for real-time simulation and optimisation of customer site operations, combined with advanced data analytics, we move from the current experience-based process to a model-based process that will enable us to deliver customer value in terms of services and trusted decision support. Developed models will be tested in a realistic testbed for a final demonstration.
Expected results and effects
** Denna text är maskinöversatt ** The project will deliver in the short - and medium term in the form of services and models for product-service applications but later also a complete simulation tool. A demonstration will be planned in a limited area with fixed boundary conditions as a first demo case to prove the methodology. The project will also enable the recruitment and examination of two licentiate theses and provide new knowledge in the areas of site and vehicle modeling and optimization of the vehicle fleet. High-quality essays in journals and conferences will be published.
Planned approach and implementation
In WP2, mapping will be done providing use case and scenarios for use throughout the project. The models and algorithms of the project are expected to be developed in WP3, evaluated in a simulation environment in WP4 and WP5, and demonstrated in a real environment in WP7. Complete modelling environment will be considered in WP4. In the main work package WP6 we will identify and develop potential service offerings that are in line with customer needs. The WP8 will lead to consolidation of research and learning to share the gained knowledge and to identify future potential research areas.