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dc.contributor.author
Ambühl, Lukas
dc.contributor.author
Loder, Allister
dc.contributor.author
Leclercq, Ludovic
dc.contributor.author
Axhausen, Kay W.
dc.contributor.author
Menendez, Monica
dc.date.accessioned
2019-03-29T13:40:35Z
dc.date.available
2019-03-21T13:53:23Z
dc.date.available
2019-03-28T14:39:29Z
dc.date.available
2019-03-29T13:40:35Z
dc.date.issued
2019-01
dc.identifier.uri
http://hdl.handle.net/20.500.11850/332978
dc.description.abstract
The macroscopic Fundamental Diagram (MFD) provides a novel perspective on urban traffic that facilitates new policies and strategies to cope with recurring congestion. The MFD is assumed to be well-defined and reproducible, but, so far, no long-term empirical evidence for this shape assumption exists. In this paper, the authors use an extensive one-year traffic data set from Lucerne, recent advances in modeling the MFD shape as well as established similarity measures (Dynamic time warping and Fr\'{e}chet distance) and k-medoid clustering to investigate this assumption. The authors first find that they can reduce the complexity of urban traffic throughout the year to only three or five clusters depending on the selected similarity measure. Furthermore, the authors reveal that the MFD shape in the loading phase of the network is very similar across the observed inflow patterns over the course of a year, but less so for the unloading and full-day MFD.
en_US
dc.language.iso
en
en_US
dc.publisher
Transportation Research Board
en_US
dc.subject
Highways
en_US
dc.subject
Operations and traffic management
en_US
dc.title
Identifying reproducible macroscopic traffic patterns in a year-long data set
en_US
dc.type
Conference Paper
ethz.book.title
2019 TRB Annual Meeting Online
en_US
ethz.pages.start
19-03614
en_US
ethz.size
8 p.
en_US
ethz.event
98th Annual Meeting of the Transportation Research Board (TRB 2019)
en_US
ethz.event.location
Washington, DC, USA
en_US
ethz.event.date
January 13-17, 2019
en_US
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
en_US
ethz.relation.isVariantFormOf
20.500.11850/280807
ethz.date.deposited
2019-03-21T13:53:24Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.identifier.internal
1367
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-03-28T14:40:03Z
ethz.rosetta.lastUpdated
2019-03-29T13:41:22Z
ethz.rosetta.versionExported
true
ethz.COinS
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