Intermodal Autonomous Mobility-on-Demand
Event details
| Date | 07.08.2018 |
| Hour | 14:00 › 14:45 |
| Speaker | Mauro Salazar, Insitute for Dynamic Systems and Control |
| Location | |
| Category | Conferences - Seminars |
Abstract: 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.
Bio: Mauro Salazar was born in Zürich, Switzerland. He received the B.Sc. degree in mechanical engineering from ETH Zürich in 2013, and the M.Sc. degree in mechanical engineering in 2015. He did his master thesis at EPFL with Prof. Colin Jones on the topic Low Energy Control. He is pursuing a Ph.D. degree with the Institute for Dynamic Systems and Control, ETH Zürich, under the supervision of Prof. Chris Onder. From January to July 2018, he was a visiting research scholar at the Autonomous Systems Lab, Stanford University, under the supervision of Prof. Marco Pavone.
His current research interests include optimal control theory, hybrid electric vehicles, autonomous mobility-on-demand and model predictive control.
He received the Outstanding Bachelor Award and the Excellence Scholarship and Opportunity Award from ETH Zürich. His master thesis was awarded the ETH Medal.
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.
Bio: Mauro Salazar was born in Zürich, Switzerland. He received the B.Sc. degree in mechanical engineering from ETH Zürich in 2013, and the M.Sc. degree in mechanical engineering in 2015. He did his master thesis at EPFL with Prof. Colin Jones on the topic Low Energy Control. He is pursuing a Ph.D. degree with the Institute for Dynamic Systems and Control, ETH Zürich, under the supervision of Prof. Chris Onder. From January to July 2018, he was a visiting research scholar at the Autonomous Systems Lab, Stanford University, under the supervision of Prof. Marco Pavone.
His current research interests include optimal control theory, hybrid electric vehicles, autonomous mobility-on-demand and model predictive control.
He received the Outstanding Bachelor Award and the Excellence Scholarship and Opportunity Award from ETH Zürich. His master thesis was awarded the ETH Medal.
Practical information
- General public
- Free