You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

The Quantitative Risk Norm - A Proposed Tailoring of HARA for ADS

Fulltext:


Authors:

Fredrik Warg , Martin Skoglund, Rolf Johansson , Anders Thorsen

Note:

Already present in diva.

Publication Type:

Conference/Workshop Paper

Venue:

6th International Workshop on Safety and Security of Intelligent Vehicles

DOI:

10.1109/DSN-W50199.2020.00026


Abstract

One of the major challenges of automated driving systems (ADS) is showing that they drive safely. Key to ensuring safety is eliciting a complete set of top-level safety requirements (safety goals). This is typically done with an activity called hazard analysis and risk assessment (HARA). In this paper we argue that the HARA of ISO 26262:2018 is not directly suitable for an ADS, both because the number of relevant operational situations may be vast, and because the ability of the ADS to make decisions in order to reduce risks will affect the analysis of exposure and hazards. Instead we propose a tailoring using a quantitative risk norm (QRN) with consequence classes, where each class has a limit for the frequency within which the consequences may occur. Incident types are then defined and assigned to the consequence classes; the requirements prescribing the limits of these incident types are used as safety goals to fulfil in the implementation. The main benefits of the QRN approach are the ability to show completeness of safety goals, and make sure that the safety strategy is not limited by safety goals which are not formulated in a way suitable for an ADS.

Bibtex

@inproceedings{Warg5963,
author = {Fredrik Warg and Martin Skoglund and Rolf Johansson and Anders Thorsen},
title = {The Quantitative Risk Norm - A Proposed Tailoring of HARA for ADS},
isbn = {978-1-7281-7263-},
note = {Already present in diva.},
month = {August},
year = {2020},
booktitle = {6th International Workshop on Safety and Security of Intelligent Vehicles},
url = {http://www.es.mdu.se/publications/5963-}
}