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dc.contributor.authorMolzahn, Sven-Eric
dc.date.accessioned2022-06-02T04:14:07Z
dc.date.available2022-06-02T04:14:07Z
dc.date.issued2022
dc.date.submitted2022-06-01T09:34:14Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/55800
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/82618
dc.description.abstractTo this day, the sudden emergence of the structures of congested traffic poses a great danger to drivers and vehicles: This is especially true when driving into the end of a traffic jam. One way to reduce the danger is the timely and precise warning of the end of a traffic jam. This paper presents a method to determine and classify the hazard potential at the end of a traffic jam by means of empirical microscopic traffic data.
dc.languageGerman
dc.relation.ispartofseriesSchriftenreihe / Institut für Verkehrswesen, Karlsruher Institut für Technologie
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and buildingen_US
dc.subject.otherVerkehr; Verkehrssicherheit; Stauforschung; Stauendewarnung; Traffic; Traffic safety; Jam tail warning; empirical traffic analysis
dc.titleVerkehrsphasenbasierte Datenanalyse von zeitlich-räumlichen Strukturen der Staufronten
dc.typebook
oapen.identifier.doi10.5445/KSP/1000135973
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511168
oapen.pages182
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
dc.seriesnumber8
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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open access
Except where otherwise noted, this item's license is described as open access