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dc.contributor.author
Hörl, Sebastian
dc.contributor.author
Balać, Milos
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2019-03-29T13:49:18Z
dc.date.available
2018-11-14T12:58:12Z
dc.date.available
2018-11-14T13:09:08Z
dc.date.available
2019-03-29T13:49:18Z
dc.date.issued
2019-01
dc.identifier.uri
http://hdl.handle.net/20.500.11850/303667
dc.identifier.doi
10.3929/ethz-b-000303667
dc.description.abstract
As travellers are faced with an increasing portfolio of transportation options, researchers are similarly faced with increasing complexity of modelling efforts to study people’s choices and behaviour. While discrete-choice models and in particular mode-choice models are widely used to study how people react to specific changes in the system, little published research exist that analyses the possibilities and pitfalls of pairing mode-choice models with the traffic simulation inside of an iterative process. The work presented here describes a structured framework for using discrete choice models along with microsimulation. While the outcomes are based on the MATSim framework, they can be generalised. The obtained results show that the combination of a mode-choice model with MATSim is a promising approach to set up a feedback-enabled transport simulation. Given well-designed constraints on top of the choice model, a good fit with the reference data is achieved. While the modeller loses some of the freedom he or she has within the plan modelling in MATSim, gains in computation time and a reduced effort for calibration are achieved. The authors find that a tour-based model formulation is to be preferred over a trip-based one because by construction more consistent travel decisions are made. While a trip-based model could probably be calibrated to yield a good fit with MATSim, the tour-based model bears the potential of not having to perform a lot of calibration work when setting up the simulation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Transportation Research Board
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Pairing discrete mode choice models and agent-based transport simulation with MATSim
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.book.title
2019 TRB Annual Meeting Online
en_US
ethz.pages.start
19-02409
en_US
ethz.size
19 p.
en_US
ethz.version.deposit
acceptedVersion
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::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.relation.isVariantFormOf
10.3929/ethz-b-000283780
ethz.date.deposited
2018-11-14T12:58:20Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-03-29T13:50:08Z
ethz.rosetta.lastUpdated
2019-03-29T13:50:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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