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dc.contributor.authorMolzahn, Sven-Eric
dc.date.accessioned2022-06-01T09:34:14Z
dc.date.available2022-06-01T09:34:14Z
dc.date.issued2022
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/55800
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.en_US
dc.languageGermanen_US
dc.relation.ispartofseriesSchriftenreihe / Institut für Verkehrswesen, Karlsruher Institut für Technologieen_US
dc.subject.otherVerkehr; Verkehrssicherheit; Stauforschung; Stauendewarnung; Traffic; Traffic safety; Jam tail warning; empirical traffic analysisen_US
dc.titleVerkehrsphasenbasierte Datenanalyse von zeitlich-räumlichen Strukturen der Staufrontenen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000135973en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number8en_US
oapen.pages182en_US
peerreview.anonymityAll identities known
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.review.stagePre-publication
peerreview.review.typeFull text
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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