3 citations · 9 across the 10 of their papers we have counts for
10 papers
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…
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging
Nishanth Venkatesh, Viet-Anh Le, Aditya Dave +1
Highway merging scenarios featuring mixed traffic conditions pose significant modeling and control challenges for connected and automated vehicles (CAVs) interacting with incoming…
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 Safety-Prioritized Receding Horizon Control Framework for Platoon Formation in a Mixed Traffic Environment
A M Ishtiaque Mahbub, Viet-Anh Le, Andreas A. Malikopoulos
Platoon formation with connected and automated vehicles (CAVs) in a mixed traffic environment poses significant challenges due to the presence of human-driven vehicles (HDVs) with…
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…
Safety-Aware and Data-Driven Predictive Control for Connected Automated Vehicles at a Mixed Traffic Signalized Intersection
A M Ishtiaque Mahbub, Viet-Anh Le, Andreas A. Malikopoulos
A typical urban signalized intersection poses significant modeling and control challenges in a mixed traffic environment consisting of connected automated vehicles (CAVs) and human…
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…
ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks
Viet-Anh Le, Linh Nguyen, Truong X. Nghiem
This paper discusses the adaptive sampling problem in a nonholonomic mobile robotic sensor network for efficiently monitoring a spatial field. It is proposed to employ Gaussian pro…
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…