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The Quantitative Risk Norm - A Proposed Tailoring of HARA for ADS
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Pålitliga transportsystem)ORCID iD: 0000-0003-4069-6252
Autonomous Intelligent Driving, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Pålitliga transportsystem)ORCID iD: 0000-0001-6901-4986
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Pålitliga transportsystem)ORCID iD: 0000-0001-7933-3729
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2020 (English)In: Proceedings of 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Los Alamitos, 2020Conference paper, Published paper (Refereed)
Abstract [en]

One of the major challenges of automated drivingsystems (ADS) is showing that they drive safely. Key to ensuringsafety is eliciting a complete set of top-level safety requirements(safety goals). This is typically done with an activity called hazardanalysis and risk assessment (HARA). In this paper we argue thatthe HARA of ISO 26262:2018 is not directly suitable for an ADS,both because the number of relevant operational situations maybe vast, and because the ability of the ADS to make decisionsin order to reduce risks will affect the analysis of exposure andhazards. Instead we propose a tailoring using a quantitative risknorm (QRN) with consequence classes, where each class has alimit for the frequency within which the consequences may occur.Incident types are then defined and assigned to the consequenceclasses; the requirements prescribing the limits of these incidenttypes are used as safety goals to fulfil in the implementation.The main benefits of the QRN approach are the ability to showcompleteness of safety goals, and make sure that the safetystrategy is not limited by safety goals which are not formulatedin a way suitable for an ADS.

Place, publisher, year, edition, pages
Los Alamitos, 2020.
Keywords [en]
ADS, automated driving, hazard analysis, HARA, functional safety, ISO 26262, risk norm
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:ri:diva-46354DOI: 10.1109/DSN-W50199.2020.00026ISBN: 978-1-7281-7263-7 (electronic)OAI: oai:DiVA.org:ri-46354DiVA, id: diva2:1458651
Conference
6th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2020)
Projects
ESPLANADE
Funder
Vinnova, 2016-04268Available from: 2020-08-17 Created: 2020-08-17 Last updated: 2024-04-11Bibliographically approved

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Warg, FredrikSkoglund, MartinThorsén, AndersSanfridson, Martin

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