  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.
