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dc.contributor.author
Fourie, Pieter J.
dc.contributor.supervisor
Axhausen, Kay W.
dc.contributor.supervisor
Nagel, Kai
dc.contributor.supervisor
Erath, Alexander
dc.date.accessioned
2017-10-13T10:56:59Z
dc.date.available
2017-06-22T08:02:17Z
dc.date.available
2017-06-22T08:20:55Z
dc.date.available
2017-06-22T08:25:01Z
dc.date.available
2017-07-10T10:05:42Z
dc.date.available
2017-10-13T10:56:59Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/165298
dc.identifier.doi
10.3929/ethz-b-000165298
dc.description.abstract
This thesis details the design of a modified MATSim agent-based simulation system that is driven by transit smart card data. A complete set of bus vehicle trajectories are reconstructed from the smart card transactions. The reconstructed trajectories are then used to estimate a number of regression models of the speed at which buses travel between stops. These models drive the simulation dynamics, along with a dwell time model which takes account of bus ridership, in a MATSim simulation where smart card transaction records have been transformed into an agent-based travel demand. Besides an exposition of the various elements of the data-driven system, as well as validation of the simulation output and a test case scenario, the thesis also covers a number of related topics, including a technique to improve simulation times for MATSim simulations in general, a method to distribute MATSim simulations across multiple computer nodes, a useful approach to perform parameter optimisation in MATSim using a Kriging meta-model, and ends with a technique to synthesise surrogate data that could be used to drive the simulation, while eliminating any associated privacy concerns.
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.subject
Transit
en_US
dc.subject
Public Transport
en_US
dc.subject
Trajectory
en_US
dc.subject
Speed regression
en_US
dc.subject
Smart card data
en_US
dc.subject
Data-driven modeling
en_US
dc.subject
Surrogate data
en_US
dc.subject
Agent-based simulation
en_US
dc.subject
MATSim
en_US
dc.subject
Singapore
en_US
dc.title
Data-Driven Transit Simulation
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-06-22
ethz.size
180 p.
en_US
ethz.identifier.diss
23948
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::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::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::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.date.deposited
2017-06-22T08:02:18Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-06-22T08:21:28Z
ethz.rosetta.lastUpdated
2018-11-05T21:51:34Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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