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dc.contributor.author
Genser, Alexander
dc.contributor.author
Ambühl, Lukas
dc.contributor.author
Yang, Kaidi
dc.contributor.author
Menendez, Monica
dc.contributor.author
Kouvelas, Anastasios
dc.date.accessioned
2020-09-30T13:36:14Z
dc.date.available
2020-09-30T13:11:50Z
dc.date.available
2020-09-30T13:36:14Z
dc.date.issued
2020-09
dc.identifier.uri
http://hdl.handle.net/20.500.11850/443746
dc.identifier.doi
10.3929/ethz-b-000443746
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IVT, ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Time-to-Green predictions
en_US
dc.type
Other Conference Item
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
A framework to enhance SPaT messages using machine learning
en_US
ethz.size
18 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
23rd IEEE International Conference on Intelligent Transportation Systems (ITSC 2020)
en_US
ethz.event.location
online
en_US
ethz.event.date
September 20-23, 2020
en_US
ethz.notes
Conference lecture held on September 22, 2020. Due to the Corona virus (COVID-19) the conference was conducted virtually.
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
*
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.documents
https://hdl.handle.net/20.500.11850/443743
ethz.date.deposited
2020-09-30T13:11:59Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-09-30T13:37:17Z
ethz.rosetta.lastUpdated
2021-02-15T17:42:02Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Time-to-Green%20predictions&rft.date=2020-09&rft.au=Genser,%20Alexander&Amb%C3%BChl,%20Lukas&Yang,%20Kaidi&Menendez,%20Monica&Kouvelas,%20Anastasios&rft.genre=unknown&rft.btitle=Time-to-Green%20predictions
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