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| Funder | Vinnova |
|---|---|
| Recipient Organization | Kth, Royal Institute of Technology |
| Country | Sweden |
| Start Date | Jan 16, 2023 |
| End Date | Dec 19, 2025 |
| Duration | 1,068 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2022-03000_Vinnova |
Purpose and goal:
The project will develop new capabilities for real-time analysis for the assessment of current and residual risk for self-driving vehicles, based on data from various sources including vehicles and roadside sensors, as well as develop a research testbed, in collaboration with the developments taking place within the TECoSA centre. The intention is also that the experiences will be analyzed to generate a reference architecture for a larger class of cyber-physical systems.
Expected results and effects: ** Denna text är maskinöversatt **
Connectivity and digital infrastructure provide opportunities to improve safety and performance in road traffic. Important aspects of this are opportunities to be able to share data and perform calculations in suitable places (e.g. in vehicles, in road-side units, in distributed data centers or in cloud computing systems) in a dependable and trustworthy way.
The results are therefore important for the project´s partners and contribute to the collaboration and innovation of the actors involved in connected vehicles and digital infrastructure. Approach and implementation: ** Denna text är maskinöversatt **
The project involves 3 technical work packages (risk assessment, testbed, and architecture). Two overarching scenarios will be addressed involving different operational design domains, one of which focuses on KTH´s campus in Stockholm. During the first year, the focus will be on risk assessment methods and development of the test bed, while thereafter the focus will gradually shift to operational tests. The development of the testbed takes place in close collaboration with the TECoSA centre.
Kth, Royal Institute of Technology
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