# On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems

arXiv: https://arxiv.org/abs/1804.11278 · HTML: https://mlsanity.com/paper/1804.11278/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Apr 2018.

## Built on by (most cited first, 2 of 2)

- [Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit](https://mlsanity.com/paper/2204.11992/) (2022)
- [Artificial Intelligence for Smart Transportation](https://mlsanity.com/paper/2308.07457/) (2023)

## Abstract (arXiv)

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.
