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Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessmentoa mark
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dc.contributor.authorKim, Inyoung-
dc.contributor.authorKang, Donghyo-
dc.contributor.authorJeong, Harim-
dc.contributor.authorLee, Soomok-
dc.contributor.authorYun, Ilsoo-
dc.date.issued2023-10-01-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://dspace.ajou.ac.kr/dev/handle/2018.oak/33723-
dc.description.abstractWith advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS. Therefore, this study proposed a methodology that combines and transforms single scenarios into multiple scenarios. This aided in continuously evaluating the ADS performance over entire road segments and implemented this methodology in the simulations.-
dc.description.sponsorshipThis research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure, and Transport (Grant No. RS-2021-KA160637).-
dc.language.isoeng-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.subject.meshAutomated driving systems-
dc.subject.meshAutomated vehicles-
dc.subject.meshDriving safety-
dc.subject.meshDriving system performance-
dc.subject.meshMulti scenarios-
dc.subject.meshPerformance-
dc.subject.meshRoad segments-
dc.subject.meshScenario acceleration-
dc.subject.meshSimulation-
dc.subject.meshTraffic characteristics-
dc.titleMethod of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment-
dc.typeArticle-
dc.citation.titleSensors-
dc.citation.volume23-
dc.identifier.bibliographicCitationSensors, Vol.23-
dc.identifier.doi10.3390/s23198271-
dc.identifier.pmid37837100-
dc.identifier.scopusid2-s2.0-85174004074-
dc.identifier.urlhttp://www.mdpi.com/journal/sensors-
dc.subject.keywordautomated vehicle-
dc.subject.keyworddriving safety-
dc.subject.keywordmulti-scenarios-
dc.subject.keywordscenario acceleration-
dc.subject.keywordsimulation-
dc.description.isoatrue-
dc.subject.subareaAnalytical Chemistry-
dc.subject.subareaInformation Systems-
dc.subject.subareaAtomic and Molecular Physics, and Optics-
dc.subject.subareaBiochemistry-
dc.subject.subareaInstrumentation-
dc.subject.subareaElectrical and Electronic Engineering-
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