Rick Zhang — accepted AI-conference papers

2016

Model predictive control of autonomous mobility-on-demand systems

Rick Zhang, Federico Rossi, Marco Pavone

ICRA 2016

In this paper we present a model predictive control (MPC) approach to optimize vehicle scheduling and routing in an autonomous mobility-on-demand (AMoD) system. In AMoD systems, robotic, self-driving vehicles transport customers within an urban environment and are coordinated to optimize service thr

Cited by 92 Source ↗Scholar ↗

2016

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms

Rick Zhang, Federico Rossi, Marco Pavone

RSS 2016poster

This paper considers the problem of routing and rebalancing a shared fleet of autonomous (i.e., self-driving) vehicles providing on-demand mobility within a capacitated trans- portation network, where congestion might disrupt throughput. We model the problem within a network flow framework and show…

Cited by 214 Source ↗PDF ↗Scholar ↗