File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Risk Assessment and Development Cost Optimization in Software Defined Vehicles

TitleRisk Assessment and Development Cost Optimization in Software Defined Vehicles
Authors
Keywordscost
reliability
risk
safety
Software defined vehicles
Issue Date2021
Citation
IEEE Transactions on Intelligent Transportation Systems, 2021, v. 22, n. 6, p. 3675-3686 How to Cite?
AbstractVehicle design has entered a new stage, namely, Software Defined Vehicles (SDV), where functional safety is required to be guaranteed for risk control, and development cost needs to be optimized for profit maximization. This paper targets to optimize the development cost under the functional safety requirement for a safety-aware SDV, based on the automotive safety integrity level (ASIL) decomposition defined in ISO 26262. For this, a two-stage solution is proposed, which includes functional safety risk assessment and development cost optimization. The first stage develops a new fast risk assessment (FRA) algorithm to assess the functional safety risk, including the joint reliability risk and the real-time risk, of the SDV functionality. The second stage proposes a dual requirement guarantee (DRG) algorithm to optimize the development cost considering reliability and real-time requirements jointly. Our experiments demonstrate that the proposed two-stage solution guarantees the functional safety requirement while reducing the development cost by 20%-24%.
Persistent Identifierhttp://hdl.handle.net/10722/336254
ISSN
2023 Impact Factor: 7.9
2023 SCImago Journal Rankings: 2.580
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXie, Guoqi-
dc.contributor.authorWu, Wei-
dc.contributor.authorZeng, Gang-
dc.contributor.authorLi, Renfa-
dc.contributor.authorHu, Shiyan-
dc.date.accessioned2024-01-15T08:24:55Z-
dc.date.available2024-01-15T08:24:55Z-
dc.date.issued2021-
dc.identifier.citationIEEE Transactions on Intelligent Transportation Systems, 2021, v. 22, n. 6, p. 3675-3686-
dc.identifier.issn1524-9050-
dc.identifier.urihttp://hdl.handle.net/10722/336254-
dc.description.abstractVehicle design has entered a new stage, namely, Software Defined Vehicles (SDV), where functional safety is required to be guaranteed for risk control, and development cost needs to be optimized for profit maximization. This paper targets to optimize the development cost under the functional safety requirement for a safety-aware SDV, based on the automotive safety integrity level (ASIL) decomposition defined in ISO 26262. For this, a two-stage solution is proposed, which includes functional safety risk assessment and development cost optimization. The first stage develops a new fast risk assessment (FRA) algorithm to assess the functional safety risk, including the joint reliability risk and the real-time risk, of the SDV functionality. The second stage proposes a dual requirement guarantee (DRG) algorithm to optimize the development cost considering reliability and real-time requirements jointly. Our experiments demonstrate that the proposed two-stage solution guarantees the functional safety requirement while reducing the development cost by 20%-24%.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Intelligent Transportation Systems-
dc.subjectcost-
dc.subjectreliability-
dc.subjectrisk-
dc.subjectsafety-
dc.subjectSoftware defined vehicles-
dc.titleRisk Assessment and Development Cost Optimization in Software Defined Vehicles-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TITS.2020.3027469-
dc.identifier.scopuseid_2-s2.0-85096640253-
dc.identifier.volume22-
dc.identifier.issue6-
dc.identifier.spage3675-
dc.identifier.epage3686-
dc.identifier.eissn1558-0016-
dc.identifier.isiWOS:000658360600038-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats