activity
20182026
most citedOptimal Time Trajectory and Coordination for Connected and Automated Vehicles

112 citations · 449 across the 29 of their papers we have counts for

collaborators
Showing eess.SYShow all

5 papers · 1 filter

eess.SY2026

Closed-Form Characterization of Constrained Double-Integrator Optimal Control

Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos

We consider the energy-optimal control problem for double-integrator systems subject to state and control constraints, with fixed terminal time and free terminal speed. When the co…

eess.SY2025

Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections

Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos

The proliferation of connected and automated vehicles (CAVs) has positioned mixed traffic environments, which encompass both CAVs and human driven vehicles (HDVs), as critical comp…

eess.SY2023★ 5 cited

LQ-OCP: Energy-Optimal Control for LQ Problems

Logan E. Beaver

This article presents a method to automatically generate energy-optimal trajectories for systems with linear dynamics, linear constraints, and a quadratic cost functional (LQ syste…

eess.SY2019★ 27 cited

Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

Behdad Chalaki, Logan E. Beaver, Ben Remer +4

In this article, we demonstrate a zero-shot transfer of an autonomous driving policy from simulation to University of Delaware's scaled smart city with adversarial multi-agent rein…

eess.SY2018★ 11 cited

Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles

Kathy Jang, Eugene Vinitsky, Behdad Chalaki +4

Using deep reinforcement learning, we train control policies for autonomous vehicles leading a platoon of vehicles onto a roundabout. Using Flow, a library for deep reinforcement l…