4 papers
Stochastic Model Predictive Control for Autonomous Mobility on Demand
Matthew Tsao, Ramon Iglesias, Marco Pavone
This paper presents a stochastic, model predictive control (MPC) algorithm that leverages short-term probabilistic forecasts for dispatching and rebalancing Autonomous Mobility-on-…
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems
Ramon Iglesias, Federico Rossi, Kevin Wang +3
The goal of this paper is to present an end-to-end, data-driven framework to control Autonomous Mobility-on-Demand systems (AMoD, i.e. fleets of self-driving vehicles). We first mo…
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms
Federico Rossi, Ramon Iglesias, Mahnoosh Alizadeh +1
We study the interaction between a fleet of electric, self-driving vehicles servicing on-demand transportation requests (referred to as Autonomous Mobility-on-Demand, or AMoD, syst…
A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems
Ramon Iglesias, Federico Rossi, Rick Zhang +1
In this paper we present a queueing network approach to the problem of routing and rebalancing a fleet of self-driving vehicles providing on-demand mobility within a capacitated ro…