A Fuzzy Logic Approach for Determining Driver Impatience and Stress Leveraging Internet of Vehicles Infrastructure

Simple item page
datacite.relatedItem.firstPage553
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2624-8921
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleVehicles
datacite.relatedItem.volume4
dc.contributor.authorKevin Bylykbashi
dc.contributor.authorErmioni Qafzezi
dc.contributor.authorPhudit Ampririt
dc.contributor.authorMakoto Ikeda
dc.contributor.authorKeita Matsuo
dc.contributor.authorLeonard Barolli
dc.date.accessioned2025-05-21T03:35:02Z
dc.date.available2025-05-21T03:35:02Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/vehicles4020032
dc.identifier.otherjz000164-0032
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33882
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleA Fuzzy Logic Approach for Determining Driver Impatience and Stress Leveraging Internet of Vehicles Infrastructure
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33883
dcat.distribution.supplierxmlhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33884
dspace.entity.typeDataset
relation.isDistributionOfDataset29f956f0-8b12-451d-8e24-a435a84a51ae
relation.isDistributionOfDatasetf7a4f2bc-6579-43f6-a9e6-42f89b7b6b80
relation.isDistributionOfDataset08190d11-f018-4cb7-91d7-d0f61b8c3486
relation.isDistributionOfDataset.latestForDiscovery29f956f0-8b12-451d-8e24-a435a84a51ae
wdm.archivematicaaipuuid.original3d5f1495-c26d-422c-9dc2-f0fe68a838b6

Files

Collections

2022