Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning

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datacite.relatedItem.firstPage467
datacite.relatedItem.issue11
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorXiaolong Li
dc.contributor.authorYun Zhang
dc.contributor.authorLonggang Xiang
dc.contributor.authorTao Wu
dc.date.accessioned2025-05-14T15:01:29Z
dc.date.available2025-05-14T15:01:29Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12110467
dc.identifier.otherjz000148-0464
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27546
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleUrban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27547
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