In this paper we study models and coordination policies for intermodal\nAutonomous Mobility-on-Demand (AMoD), wherein a fleet of self-driving vehicles\nprovides on-demand mobility jointly with public transit. Specifically, we first\npresent a network flow model for intermodal AMoD, where we capture the coupling\nbetween AMoD and public transit and the goal is to maximize social welfare.\nSecond, leveraging such a model, we design a pricing and tolling scheme that\nallows to achieve the social optimum under the assumption of a perfect market\nwith selfish agents. Finally, we present a real-world case study for New York\nCity. Our results show that the coordination between AMoD fleets and public\ntransit can yield significant benefits compared to an AMoD system operating in\nisolation.\n