In this talk, Dr. Mauro Salazar, postdoctoral scholar at Stanford University, will show the research he is carrying out on intermodal Autonomous Mobility-on-Demand (AMoD), wherein a fleet of self-driving vehicles provides on-demand mobility jointly with public transit. Specifically, he will first present a network flow model for intermodal AMoD, capturing the coupling between AMoD and public transit and where the goal is to maximize social welfare.

By leveraging such a model, he will devise a pricing and tolling scheme that allows to achieve the social optimum under the assumption of a perfect market with selfish agents. Finally, he will present a real-world case study for New York City and Berlin. The results will show that the coordination between AMoD fleets and public transit can yield significant benefits compared to an AMoD system operating in isolation.

On the operational side, he will present a Model Predictive Control scheme for intermodal routing and some preliminary results he has obtained for New York City.

Location:
1515 St. Catherine West
Montreal, Quebec