Digital Twin Roads

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorFalchetto, Augusto
dc.contributor.authorErdem, Akin
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorSt-Pierre, Luc
dc.date.accessioned2024-06-11T08:15:04Z
dc.date.available2024-06-11T08:15:04Z
dc.date.issued2024-04-26
dc.description.abstractThis literature review evaluates the application of digital twin technology (DTT) in improving road networks and traffic management. Digital twins are dynamic virtual models that mirror real-world entities and are updated in real-time with data from their physical counterparts. This study systematically examines peer-reviewed articles to explore the potential benefits of DTT in optimizing traffic flows. The findings suggest that DTT can significantly enhance traffic management and reduce congestion. However, cost-effectiveness and scalability are challenges that must be addressed in further research.en
dc.format.extent15
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/128593
dc.identifier.urnURN:NBN:fi:aalto-202406114183
dc.language.isoenen
dc.programmeAalto Bachelor’s Programme in Science and Technologyfi
dc.programme.majorComputational Engineeringen
dc.programme.mcodeENG3082fi
dc.subject.keyworddigital twinsen
dc.subject.keyworddigital twin roadsen
dc.subject.keywordtraffic managementen
dc.titleDigital Twin Roadsen
dc.typeG1 Kandidaatintyöfi
dc.type.dcmitypetexten
dc.type.ontasotBachelor's thesisen
dc.type.ontasotKandidaatintyöfi

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