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Tool-Supported Dependability Analysis of Semi-Markov Processes with Application to Autonomous Driving
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7972-8843
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-6667-3783
Scania CV AB.
2019 (English)In: 2019 4th International Conference on System Reliability and Safety (ICSRS 2019) / [ed] IEEE, IEEE, 2019, p. 126-135Conference paper, Published paper (Refereed)
Abstract [en]

For all safety-critical systems, modelling approaches allowing accurate dependability analysis is of utmost importance. Moreover, in order to accurately and realistically model the real-world behaviour of safety-critical systems, Semi-Markov Processes (SMPs) are highly useful. SMPs generalize Markov processes to give more freedom in how a system can be modelled. While SMPs are highly useful, previous literature fail to provide an intuitive modelling approach for them. As the first contribution, an intuitive novel modelling approach based on transition timers is presented. Once the systems of interest has been modelled as a SMP the problem still remains to analyze the model. As the second contribution, the Matlab app “SMP-tool” is presented. SMP-tool can analyze SMPs in several manners, perhaps most importantly by performing a dependability analysis through calculating the reliability and availability. Both contributions are applied to Highway Pilot, a typical system for autonomous driving.

Place, publisher, year, edition, pages
IEEE, 2019. p. 126-135
Keywords [en]
semi-Markov process, dependability, reliability, availability, safety, autonomous vehicles, transition timers, SMP-tool, highway pilot
National Category
Embedded Systems
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-268660DOI: 10.1109/ICSRS48664.2019.8987701ISI: 000545634000020Scopus ID: 2-s2.0-85080111107OAI: oai:DiVA.org:kth-268660DiVA, id: diva2:1394783
Conference
4th International Conference on System Reliability and Safety (ICSRS), Rome, Italy, November 20-22, 2019
Funder
Vinnova, 2018-02727EU, Horizon 2020, 783190
Note

QC 20200513

Available from: 2020-02-20 Created: 2020-02-20 Last updated: 2022-09-13Bibliographically approved

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Publisher's full textScopushttps://ieeexplore.ieee.org/document/8987701

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Kaalen, StefanNyberg, Mattias

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CiteExportLink to record
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