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TRYM: Trust Your Metrics!

Reference number
Coordinator Mälardalens högskola - Akademin för innovation, design och teknik, Västerås
Funding from Vinnova SEK 176 888
Project duration August 2018 - January 2019
Status Completed
Venture Personal mobility between societal sectors

Purpose and goal

In the project TRYM: Trust Your Metrics!, the Mälardalen University (MDH) has investigated, in collaboration with TTTech Computertechnik AG, the best practices for design, development and verification of software for critical systems, with focus on autonomous driving. The resulting concept is based on an existing TTTech platform, the In-Car Computing Platform (ICCP), which implements the Cloud/Fog concept.

Expected effects and result

The immediate results of TRYM are a study of the dependability limitations of Fog computing and the design and formal verification of a fault-tolerant protocol for autonomous truck platooning. The dependability study resulted in two workshop publications whereas the description of the platooning protocol will be submitted to a journal. Our study shows that cloud-inspired platforms, like ICPP, are suitable for the high bandwidth requirements of autonomous driving, but we identified a number of limitations that need to be addressed, such as fault diagnosis and fault tolerance.

Planned approach and implementation

TRYM! was implemented by alternating visits to TTTech, Vienna and periods of independent work at MDH. It was carried out between Aug 2018 and Jan 2019. The visits were used for holding meetings and small seminars with TTTech researchers, in which the new computing platforms were discussed. The project generated synergies with the EU projects RetNet, FORA and CPSwarm, which are also investigating real-time platforms for autonomous driving, but TRYM! focused on dependability, particularly fault tolerance and formal verification, adding value to existing results.

External links

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

Last updated 10 June 2019

Reference number 2018-02437

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