Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables

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dc.authorscopusid55778396800
dc.authorscopusid15834777400
dc.authorscopusid57193775489
dc.authorscopusid57194406764
dc.contributor.authorErdoğan, M.
dc.contributor.authorKaya, İ.
dc.contributor.authorKaraşan, A.
dc.contributor.authorÇolak, M.
dc.date.accessioned2021-12-01T18:38:52Z
dc.date.available2021-12-01T18:38:52Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractAutonomous vehicle driving systems (AVDSs) have independent decision structures from the users to manage and control the operations of the vehicles both in normal conditions and unexpected situations. Although there are some advantages, such as decreasing accidents reasoned by human errors and efficient energy usage, it is obvious that some risks are rooted in this technology usage. Therefore, it will be beneficial to realize a risk assessment application for autonomous vehicles (AVs) and/or driving systems (DSs) since whose risks are crucial to test and solve. In this paper, a multi-criteria decision making (MCDM) methodology integrating DEcision MAking Trial and Evaluation Laboratory (DEMATEL), Analytical Network Process (ANP), and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) techniques under spherical fuzzy environment have been suggested to evaluate AVDS alternatives in terms of considered risk criteria. Spherical fuzzy sets (SFS), which are the extension of the ordinary fuzzy sets, have been used to consider the hesitancy of experts and decision-makers as well as uncertainty and impreciseness in the available data. In the application, six AVDS alternatives have been evaluated in terms of seven main criteria and forty sub-criteria. The factors “Software Specifications” and “Reliability” have been determined as the most important main and sub-criteria with the weights 0.193 and 0.066, respectively. Additionally, comparative and sensitivity analyses have been applied to present flexibility, validation and verification of the proposed methodology together with the sensitivity of the given decisions. Based on the application results and conducted analyses, possible implications by views of theoretical, managerial, and policy context have been discussed. © 2021 Elsevier B.V.en_US
dc.identifier.doi10.1016/j.asoc.2021.107934
dc.identifier.issn15684946
dc.identifier.scopus2-s2.0-85116887683en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2021.107934
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9880
dc.identifier.volume113en_US
dc.identifier.wosWOS:000760655500013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANPen_US
dc.subjectAutonomous vehicleen_US
dc.subjectDEMATELen_US
dc.subjectFuzzy set theoryen_US
dc.subjectMCDMen_US
dc.subjectRisk assessmenten_US
dc.subjectSpherical fuzzy setsen_US
dc.subjectVIKORen_US
dc.titleEvaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variablesen_US
dc.typeArticleen_US

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