Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2880
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DC FieldValueLanguage
dc.creatorDurković, Miloš-
dc.creatorHadžić, Demir-
dc.creatorLukovac, Petar-
dc.date.accessioned2024-12-17T08:21:53Z-
dc.date.available2024-12-17T08:21:53Z-
dc.date.issued2024-06-
dc.identifier.isbn978-86-7680-464-1-
dc.identifier.urihttps://symorg.fon.bg.ac.rs/wp-content/uploads/2024/06/Zbornik-SymOrg-2024.pdf-
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2880-
dc.description.abstractThis paper explores ways to enhance road safety using advanced technology. The main idea is to apply RFID technology and AI to improve driver behavior and address potential hazards caused by drivers ignoring traffic signs, which can lead to dangerous incidents. We propose a digital twin model of road signage that processes data received through In-Vehicle Monitoring Systems (IVMS) and Radio-Frequency Identification (RFID) tags. This data, analyzed with AI, provides final estimates and predictions in the form of instructions to drivers, as well as to Road Maintenance and Road Design departments. In conclusion, this model can synchronize and improve all road safety pillars: driver, vehicle, and road. Drivers, through warning messages about potential incidents, become safer drivers. Vehicles, applying these IVMS improvements, become safer vehicles. Roads, applying RFID tags, creating Digital twins of road signage and the ability to change infrastructure based on AI data, become safer roads.sr
dc.language.isoensr
dc.publisherUniversty of Belgrade - Faculty of Organizational Sciencessr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceUnlocking the Hidden Potentials of Organization Through Merging of Humans and Digitals, 19th International Symposium SymOrgsr
dc.subjectdigital twinssr
dc.subjectIVMSsr
dc.subjectRFIDsr
dc.subjectroad safetysr
dc.subjectAIsr
dc.titleDigital Twins of Road Signage: Leveraging AI and RFID for Improved Road Safetysr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage522-
dc.citation.spage515-
dc.type.versionpublishedVersionsr
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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This item is licensed under a Creative Commons License Creative Commons