3 citations · 9 across the 10 of their papers we have counts for
6 papers · 1 filter
Coordination for Connected Automated Vehicles at Merging Roadways in Mixed Traffic Environment
Viet-Anh Le, Hao M. Wang, Gabor Orosz +1
In this paper, we present an optimal control framework to address motion coordination of connected automated vehicles (CAVs) in the presence of human-driven vehicles (HDVs) in merg…
A Study of an Atomic Mobility Game With Uncertainty Under Prospect Theory
Ioannis Vasileios Chremos, Heeseung Bang, Aditya Dave +2
In this paper, we present a study of a mobility game with uncertainty in the decision-making of travelers and incorporate prospect theory to model travel behavior. We formulate a m…
Optimal Weight Adaptation of Model Predictive Control for Connected and Automated Vehicles in Mixed Traffic with Bayesian Optimization
Viet-Anh Le, Andreas A. Malikopoulos
In this paper, we develop an optimal weight adaptation strategy of model predictive control (MPC) for connected and automated vehicles (CAVs) in mixed traffic. We model the interac…
A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation
Viet-Anh Le, Andreas A. Malikopoulos
In this paper, we develop a socially cooperative optimal control framework to address the motion planning problem for connected and automated vehicles (CAVs) in mixed traffic using…
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes
Viet-Anh Le, Truong X. Nghiem
This paper focuses on distributed learning-based control of decentralized multi-agent systems where the agents' dynamics are modeled by Gaussian Processes (GPs). Two fundamental pr…
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes
Viet-Anh Le, Truong X. Nghiem
This paper proposes a receding horizon active learning and control problem for dynamical systems in which Gaussian Processes (GPs) are utilized to model the system dynamics. The ac…