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dc.contributor.author
Liu, Jun
dc.contributor.author
Kockelman, Kara M.
dc.contributor.author
Bösch, Patrick M.
dc.contributor.author
Ciari, Francesco
dc.date.accessioned
2017-09-05T08:00:10Z
dc.date.available
2017-06-12T12:42:18Z
dc.date.available
2017-08-25T19:46:25Z
dc.date.available
2017-09-05T07:55:20Z
dc.date.available
2017-09-05T08:00:10Z
dc.date.issued
2016
dc.identifier.uri
http://hdl.handle.net/20.500.11850/120634
dc.identifier.doi
10.3929/ethz-b-000120634
dc.description.abstract
This study provides a large-scale micro-simulation of transportation patterns in a metropolitan area when relying on a system of shared autonomous vehicles (SAVs). The six-county region of Austin, Texas is used for its land development patterns, demographics, networks, and trip tables. The agent-based MATSim toolkit allows modelers to track individual travelers and individual vehicles, with great temporal and spatial detail. MATSim’s algorithms help improve individual travel plans (by changing tour and trip start times, destinations, modes, and routes). Here, the SAV mode requests were simulated through a stochastic process for four possible fare levels: $0.50, $0.75, $1, and $1.25 per trip-mile. These fares resulted in mode splits of 50.9%, 12.9 %, 10.5%, and 9.2% of the region’s person-trips, respectively. Mode choice results show longer-distance travelers preferring SAVs to private, human-driven vehicles (HVs) - thanks to the reduced burden of SAV travel (since one does not have to drive the vehicle). For travelers whose households do not own an HV, SAVs (rather than transit, walking and biking) appear preferable for trips under 10 miles, which is the majority of those travelers’ trip-making. It may be difficult for traditional transit services and operators to survive once SAVs become available in regions like Austin, where dedicated rail lines and bus lanes are few. Simulation of SAV fleet operations suggest that higher fare rates allow for greater vehicle replacement (ranging from 5.6 to 7.7 HVs per SAV, assuming that the average SAV serves 17 to 20 person-trips per day); this is due to travel demands shifting away from longer trip distances, when fares rise. Empty vehicle miles traveled by the fleet of SAVs ranged from 7.8 percent to 14.2 percent, across the scenarios in this study. Implications of mobility and sustainability benefits of SAVs are also discussed in the paper.
en_US
dc.language.iso
en
en_US
dc.publisher
IVT, ETH Zürich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Shared Autonomous Vehicles
en_US
dc.subject
Car-sharing
en_US
dc.subject
Agent-Based Simulation
en_US
dc.subject
Mode Choice
en_US
dc.subject
Travel Demand Modeling
en_US
dc.title
Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1210
en_US
ethz.size
18 p.
en_US
ethz.publication.place
Zürich
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.
ethz.relation.isPreviousVersionOf
10.3929/ethz-b-000181078
ethz.date.deposited
2017-06-12T12:45:48Z
ethz.source
ECIT
ethz.identifier.importid
imp593654b754aa578708
ethz.ecitpid
pub:182707
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
dc.relation.isnodouble
176612
*
dc.relation.isnodouble
120823
*
ethz.rosetta.installDate
2017-07-18T11:49:38Z
ethz.rosetta.lastUpdated
2018-09-01T05:28:42Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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