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Completed PROJECT GRANT Swedish Research Council

Entice - Enablers for trustworthy, infrastructure supported, autonomous vehicles

98.19M kr SEK

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
Grant Description

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.

All Grantees

Kth, Royal Institute of Technology

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