Show simple item record

dc.contributor.author
Chavoshi, Kimia
dc.contributor.author
Kouvelas, Anastasios
dc.date.accessioned
2020-06-16T11:18:52Z
dc.date.available
2020-02-28T11:41:50Z
dc.date.available
2020-02-28T11:48:31Z
dc.date.available
2020-06-16T11:18:52Z
dc.date.issued
2020-05
dc.identifier.uri
http://hdl.handle.net/20.500.11850/402201
dc.identifier.doi
10.3929/ethz-b-000402201
dc.description.abstract
The growing level of freeway traffic congestion comprises an everyday life issue with social, economic, and environmental implications for modern metropolitan areas. There is evidence that Variable Speed Limits (VSL) and Ramp Metering (RM) are two effective practical approaches to ameliorate traffic congestion. In this work we use the augmented METANET model, which is one of the most widely used macroscopic models for freeway traffic, to demonstrate the positive effects that these approaches can have on traffic flow and congestion. Since the modified METANET is a nonlinear model, nonlinear model predictive control (NLMPC) is a control method pathway for this system. It performs as a recursive on-line finite-horizon optimization of nonlinear problems, subject to the system dynamics and additional constraints, and has the privilege of prediction of future system states. We utilized the NLMPC method for the coordination of VSL and RM in highway networks. We simulate the implementation of the proposed control method on a freeway that contains a typical setting of on-ramps, off-ramps, as well as a lane drop that creates a physical bottleneck. The simulation results demonstrate significant improvement in the traffic flow conditions and provide useful insights about the way that VSL and RM manage to achieve this improvement. Understanding the special characteristics of capacity drop in highways, and how to ameliorate it, is crucial for future large-scale implementations.
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
Nonlinear model predictive control for coordinated traffic flow management in highway systems
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
6 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
European Control Conference (ECC 2020) (online)
en_US
ethz.event.location
St. Petersburg, Russia
en_US
ethz.event.date
May 12-15, 2020
en_US
ethz.notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.
en_US
ethz.grant
Real-time traffic estimation and control in a connected environment
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
en_US
ethz.grant.agreementno
188622
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.date.deposited
2020-02-28T11:41:58Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-06-16T11:19:09Z
ethz.rosetta.lastUpdated
2020-06-16T11:19:09Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Nonlinear%20model%20predictive%20control%20for%20coordinated%20traffic%20flow%20management%20in%20highway%20systems&rft.date=2020-05&rft.au=Chavoshi,%20Kimia&Kouvelas,%20Anastasios&rft.genre=proceeding&rft.btitle=Nonlinear%20model%20predictive%20control%20for%20coordinated%20traffic%20flow%20management%20in%20highway%20systems
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record