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.
|Title of host publication||2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||8|
|Publication status||Published - 7 Dec 2018|
|Event||21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, HI, USA, Maui, United States|
Duration: 4 Nov 2018 → 7 Nov 2018
|Conference||21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018|
|Period||4/11/18 → 7/11/18|
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Best Student Paper Award
Tetteroo, Daniel (Recipient), 15 Jan 2015
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific