5 citations · 10 across the 5 of their papers we have counts for
20 papers · 1 filter
On Separation Between Learning and Control in Partially Observed Markov Decision Processes
Andreas A. Malikopoulos
Cyber-physical systems (CPS) encounter a large volume of data which is added to the system gradually in real time and not altogether in advance. As the volume of data increases, th…
Connected and Integrated Transportation Systems
Andreas A. Malikopoulos
The article provides an overview of the latest developments on control approaches for connected and automated vehicles along with their effectiveness on energy and transportation e…
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…
A Platoon Formation Framework in a Mixed Traffic Environment
A M Ishtiaque Mahbub, Andreas A. Malikopoulos
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce pollution, energy consumption, and travel delays. In this paper, we address the problem of…
Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation
A M Ishtiaque Mahbub, Andreas A. Malikopoulos
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control archit…
A Decentralized Time- and Energy-Optimal Control Framework for Connected Automated Vehicles: From Simulation to Field Test
A M Ishtiaque Mahbub, Vasanthi Karri, Darshil Parikh +2
The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework for real-time control aimed at optimizing energy consumption with a…