Zur Kurzanzeige

dc.contributor.author
Rimoldi, Alessio
dc.contributor.supervisor
Cenedese, Carlo
dc.contributor.supervisor
Lygeros, John
dc.contributor.supervisor
Padoan, Alberto
dc.date.accessioned
2023-12-06T15:08:30Z
dc.date.available
2023-12-06T13:33:22Z
dc.date.available
2023-12-06T15:08:30Z
dc.date.issued
2023-10-06
dc.identifier.uri
http://hdl.handle.net/20.500.11850/645938
dc.identifier.doi
10.3929/ethz-b-000645938
dc.description.abstract
Perimeter control based on the Macroscopic Fundamental Diagram is a well established paradigm in the field of urban traffic control. The optimization problem aims at maximizing the flow in the city regions by bringing the densities near the critical point of the MFD. Several algorithms have been developed to solve this problem, most of them relying on model based predictive control. These approaches work well both in congested and uncongested settings, however they come at the cost of expensive modeling efforts especially when dealing with large scale systems such as a city. In order to solve this problem we apply a novel data driven algorithm (DeePC) to a real scale simulation of the city of Z¨urich, we test this algorithm against linear model predictive control (LMPC) obtaining better performance with no modeling effort.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Fixing traffic in Zurich: a data-driven control approach
en_US
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
38 p.
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::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
en_US
ethz.date.deposited
2023-12-06T13:33:22Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2023-12-06T15:08:31Z
ethz.rosetta.lastUpdated
2024-02-03T07:54:08Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Fixing%20traffic%20in%20Zurich:%20a%20data-driven%20control%20approach&rft.date=2023-10-06&rft.au=Rimoldi,%20Alessio&rft.genre=unknown&rft.btitle=Fixing%20traffic%20in%20Zurich:%20a%20data-driven%20control%20approach
 Printexemplar via ETH-Bibliothek suchen

Dateien zu diesem Eintrag

Thumbnail

Publikationstyp

Zur Kurzanzeige