Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/15844
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dc.contributor.authorStojanovic, Nadica-
dc.contributor.authorm, nouby-
dc.contributor.authorGrujic, Ivan-
dc.contributor.authorBoskovic B.-
dc.date.accessioned2023-02-08T15:55:37Z-
dc.date.available2023-02-08T15:55:37Z-
dc.date.issued2022-
dc.identifier.issn1868-5137-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/15844-
dc.description.abstractIn the world of computers, that is, by application of modern tools to determine and represent the visual field, of the heavy-duty vehicles driver in the virtual environment, the real investigations can be successfully replaced with the virtual ones. Demands which one vehicle must to satisfy during the projecting phase are: comfort, visibility, easy manoeuvrability, esthetical demands and similar. One very important demand from the aspect of the safety of all traffic participants and reliability of all systems on the vehicle is the good visibility around the vehicle, which investigation is the aim of this paper. The purpose of this paper is the analysis of everyday situation of truck driver at the intersection, in the virtual reality, as well as the analysis of causes which lead to the traffic accident. The main aim of the paper is to determine do a truck driver sees the vulnerable group of traffic participants depending from their mutual position, by application of RAMSIS software. By application of the virtual reality, the main finding of this study, is that the truck driver in some situations cannot see the vulnerable group of traffic participants. The originality of this study bases on the investigation, do a truck driver sees the electric scooter driver, and the idea for such research have come on the basis of everyday situations, because the electric scooters are more and more present on streets. Graphical Abstract: [Figure not available: see fulltext.]-
dc.sourceJournal of Ambient Intelligence and Humanized Computing-
dc.titleModelling and determination of heavy-duty vehicle driver visual field in the virtual environment-
dc.typearticle-
dc.identifier.doi10.1007/s12652-022-04397-5-
dc.identifier.scopus2-s2.0-85138258623-
Appears in Collections:Faculty of Engineering, Kragujevac

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