Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial–Temporal Vehicle Patterns

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datacite.relatedItem.firstPage247
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume9
dc.contributor.authorJunqing Tang
dc.contributor.authorLi Wan
dc.contributor.authorTimea Nochta
dc.contributor.authorJennifer Schooling
dc.contributor.authorTianren Yang
dc.date.accessioned2025-05-14T16:11:22Z
dc.date.available2025-05-14T16:11:22Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.3390/ijgi9040247
dc.identifier.otherjz000157-0245
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30588
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleExploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial–Temporal Vehicle Patterns
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30589
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