verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf

verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf

To 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...

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Γλώσσα:ger
Έκδοση: KIT Scientific Publishing 2022
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000135973
id oapen-20.500.12657-55800
record_format dspace
spelling oapen-20.500.12657-558002022-06-02T03:14:21Z Verkehrsphasenbasierte Datenanalyse von zeitlich-räumlichen Strukturen der Staufronten Molzahn, Sven-Eric Verkehr; Verkehrssicherheit; Stauforschung; Stauendewarnung; Traffic; Traffic safety; Jam tail warning; empirical traffic analysis bic Book Industry Communication::T Technology, engineering, agriculture::TN Civil engineering, surveying & building To 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. 2022-06-01T09:34:14Z 2022-06-01T09:34:14Z 2022 book https://library.oapen.org/handle/20.500.12657/55800 ger Schriftenreihe / Institut für Verkehrswesen, Karlsruher Institut für Technologie application/pdf Attribution-ShareAlike 4.0 International verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf https://doi.org/10.5445/KSP/1000135973 KIT Scientific Publishing 10.5445/KSP/1000135973 10.5445/KSP/1000135973 44e29711-8d53-496b-85cc-3d10c9469be9 8 182 open access
institution OAPEN
collection DSpace
language ger
description To 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.
title verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
spellingShingle verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
title_short verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
title_full verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
title_fullStr verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
title_full_unstemmed verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
title_sort verkehrsphasenbasierte-datenanalyse-von-zeitlich-raumlichen-strukturen-der-staufronten.pdf
publisher KIT Scientific Publishing
publishDate 2022
url https://doi.org/10.5445/KSP/1000135973
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