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Formalizing Operational Design Domains with the Pkl Language
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Dependable transport system)ORCID iD: 0000-0001-6901-4986
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0003-4069-6252
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0001-7933-3729
Mälardalen University, Sweden. (MRTC)ORCID iD: 0000-0001-5269-3900
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2025 (English)In: IEEE Symposium on Intelligent Vehicle / [ed] IEEE, 2025Conference paper, Published paper (Refereed)
Abstract [en]

The deployment of automated functions that can operate without direct human supervision has changed safety evaluation in domains seeking higher levels of automation. Unlike conventional systems that rely on human operators, these functions require new assessment frameworks to demonstrate that they do not introduce unacceptable risks under real-world conditions. To make a convincing safety claim, the developer must present a thorough justification argument, supported by evidence, that a function is free from unreasonable risk when operated in its intended context. The key concept relevant to the presented work is the intended context, often captured by an Operational Design Domain specification (ODD). ODD formalization is challenging due to the need to maintain flexibility in adopting diverse specification formats while preserving consistency and traceability and integrating seamlessly into the development, validation, and assessment. This paper presents a way to formalize an ODD in the Pkl language, addressing central challenges in specifying ODDs while improving usability through specialized configuration language features. The approach is illustrated with an automotive example but can be broadly applied to ensure rigorous assessments of operational contexts.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Operational design domain, Automated func- tions, Automated driving systems, Safety assurance, Assessment, Safety, Security
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-78770DOI: 10.1109/IV64158.2025.11097576ISBN: 979-8-3315-3803-3 (electronic)OAI: oai:DiVA.org:ri-78770DiVA, id: diva2:1993929
Conference
IEEE Symposium on Intelligent Vehicle
Projects
SUNRISE
Funder
EU, Horizon Europe, 101069573
Note

We acknowledge the support of the Swedish Knowledge Foundation via the industrial doctoral school RELIANT, grant nr: 20220130. This research was carried out within the SUNRISE project and is funded by the European Union’s Horizon Europe Research and Innovation Actions under grant agreement No.101069573. H

Available from: 2025-09-01 Created: 2025-09-01 Last updated: 2025-09-23Bibliographically approved

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Skoglund, MartinWarg, FredrikThorsén, Anders

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