On the interaction between autonomous mobility-on-demand and public transportation systems

Mauro Salazar, Federico Rossi, Maximilian Schiffer, Christopher H. Onder, Marco Pavone

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

88 Citaten (Scopus)
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Samenvatting

In this paper we study models and coordination policies for intermodal Autonomous Mobility-on-Demand (AMoD), wherein a fleet of self-driving vehicles provides on-demand 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.

Originele taal-2Engels
Titel2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's2262-2269
Aantal pagina's8
ISBN van elektronische versie9781728103235
DOI's
StatusGepubliceerd - 7 dec. 2018
Extern gepubliceerdJa
Evenement2018 21st International Conference on Intelligent Transportation Systems (ITSC) - Maui, HI, USA, Maui, Verenigde Staten van Amerika
Duur: 4 nov. 20187 nov. 2018

Congres

Congres2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Land/RegioVerenigde Staten van Amerika
StadMaui
Periode4/11/187/11/18

Financiering

ACKNOWLEDGMENTS We would like to thank Dr. Daniele Vigo and Dr. Guido Gentile for the fruitful discussions, and Dr. Ilse New for her assistance with the proofreading and useful advice. The first author would like to thank Dr. Lino Guzzella for his support. This research was supported by the National Science Foundation under CAREER Award CMMI-1454737 and the Toyota Research Institute (TRI). This article solely reflects the opinions and conclusions of its authors and not NSF, TRI, or any other entity. This paper is dedicated to Stella.

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  • Best Student Paper Award

    Tetteroo, D. (Ontvanger), 15 jan. 2015

    Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

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