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dc.contributor.author
Salazar Villalon, Mauro
dc.contributor.author
Rossi, Federico
dc.contributor.author
Schiffer, Maximilian
dc.contributor.author
Onder, Christopher H.
dc.contributor.author
Pavone, Marco
dc.date.accessioned
2019-04-23T11:53:19Z
dc.date.available
2019-01-25T17:14:30Z
dc.date.available
2019-01-28T08:13:17Z
dc.date.available
2019-01-28T08:19:08Z
dc.date.available
2019-02-25T17:45:22Z
dc.date.available
2019-04-23T11:53:19Z
dc.date.issued
2018
dc.identifier.isbn
978-1-7281-0321-1
en_US
dc.identifier.isbn
978-1-7281-0323-5
en_US
dc.identifier.isbn
978-1-7281-0322-8
en_US
dc.identifier.isbn
978-1-7281-0324-2
en_US
dc.identifier.other
10.1109/ITSC.2018.8569381
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/319989
dc.identifier.doi
10.3929/ethz-b-000319989
dc.description.abstract
In this paper we study models and coordination policies for intermodal Autonomous Mobility-on-Demand (AMoD), wherein a fleet of self-driving vehicles provides ondemand mobility jointly with public transit. Specifically, we first present a network flow model for intermodal AMoD, where we capture the coupling between AMoD and public transit and the goal is to maximize social welfare. Second, leveraging such a model, we design a pricing and tolling scheme that allows to achieve the social optimum under the assumption of a perfect market with selfish agents. Finally, we present a real-world case study for New York City. Our results show that the coordination between AMoD fleets and public transit can yield significant benefits compared to an AMoD system operating in isolation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-12-10
ethz.book.title
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
en_US
ethz.pages.start
2262
en_US
ethz.pages.end
2269
en_US
ethz.size
8 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
21st IEEE Intelligent Transportation Systems Conference (ITSS 2018)
en_US
ethz.event.location
Maui, HI, USA
en_US
ethz.event.date
November 4-7, 2018
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino / Guzzella, Lino
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino / Guzzella, Lino
en_US
ethz.date.deposited
2019-01-25T17:14:46Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-01-28T08:19:15Z
ethz.rosetta.lastUpdated
2019-04-23T11:53:28Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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