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dc.contributor.author
Dakic, Igor
dc.contributor.author
Menendez, Monica
dc.date.accessioned
2017-06-30T11:40:29Z
dc.date.available
2017-06-29T12:39:22Z
dc.date.available
2017-06-30T11:40:29Z
dc.date.issued
2017-05
dc.identifier.uri
http://hdl.handle.net/20.500.11850/167181
dc.identifier.doi
10.3929/ethz-b-000167181
dc.description.abstract
The concept of the Macroscopic Fundamental Diagram (MFD) has been recognized as a powerful tool to develop network-wide control strategies. Recently, it has been extended to the threedimensional MFD (3D-MFD), used to investigate traffic dynamics of multimodal urban cities where different transport modes compete for, and share road infrastructure. Due to the limited amount of available data used to develop the MFD or 3D-MFD, different estimation methods have been proposed. In most cases, the data comes from either loop detectors or GPS-equipped mobile probe vehicles. Recent research has shown the value of fusing those two data sources for improving the accuracy of an estimated MFD, but requires a priori information about the probe penetration rate (PPR). Considering that this information is not very often available or is very difficult to infer, implementation of such a fusion method has been constrained so far only to simulation data. In this study, however, we propose a methodology to estimate the 3D-MFD that does not require the PPR as an input. To that end, we have developed a fusion algorithm that combines information from probe vehicles and automatic vehicle location devices of public transport to estimate the average speed of cars and further a 3D-MFD in a mixed bi-modal urban network. The findings show that the proposed algorithm can significantly reduce the estimation error when compared to an estimation method that uses only one data source.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Three-dimensional MFD
en_US
dc.subject
MFD
en_US
dc.subject
Traffic state estimation
en_US
dc.title
Data fusion algorithm for the 3D-MFD estimation
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-05-19
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
17th Swiss Transport Research Conference (STRC 2017)
en_US
ethz.event.location
Ascona, Switzerland
en_US
ethz.event.date
May 17-19, 2017
en_US
ethz.publication.place
Zurich
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::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::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
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
*
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.date.deposited
2017-06-29T12:39:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-06-30T11:40:31Z
ethz.rosetta.lastUpdated
2022-03-28T17:07:05Z
ethz.rosetta.versionExported
true
ethz.COinS
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