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20232026
most citedStochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios

14 citations · 23 across the 12 of their papers we have counts for

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11 papers · 1 filter

eess.SY2026

Integrated Routing and Intersection Control for Mixed Traffic

Filippos N. Tzortzoglou, Pengbo Zhu, Andreas A. Malikopoulos

The rapid development of cyber-physical systems is driving a transition toward mixed traffic environments comprising both human-driven and connected and automated vehicles (CAVs).…

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

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles

Filippos N. Tzortzoglou, Andreas A. Malikopoulos

In recent decades, society has witnessed significant advancements in emerging mobility systems. These systems refer to transportation solutions that incorporate digital technologie…

eess.SY2025

Mixed Traffic: A Perspective from Long Duration Autonomy

Filippos Tzortzoglou, Logan E. Beaver

The rapid adoption of autonomous vehicle has established mixed traffic environments, comprising both autonomous and human-driven vehicles (HDVs), as essential components of next-ge…

eess.SY2025

Handling Pedestrian Uncertainty in Coordinating Autonomous Vehicles at Signal-Free Intersections

Filippos N. Tzortzoglou, Andreas A. Malikopoulos

In this paper, we provide a theoretical framework for the coordination of connected and automated vehicles (CAVs) at signal-free intersections, accounting for the unexpected presen…

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.SY2024★ 5 cited

On Mobility Equity and the Promise of Emerging Transportation Systems

Heeseung Bang, Aditya Dave, Filippos N. Tzortzoglou +2

This paper introduces a mobility equity metric (MEM) for evaluating fairness and accessibility in multi-modal intelligent transportation systems. The MEM simultaneously accounts fo…

eess.SY2024

A Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems

Heeseung Bang, Aditya Dave, Filippos N. Tzortzoglou +1

In this paper, we introduce a metric to evaluate the equity in mobility and a routing framework to enhance the metric within multi-modal intelligent transportation systems. The mob…

eess.SY2023★ 14 cited

Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios

Viet-Anh Le, Behdad Chalaki, Filippos N. Tzortzoglou +1

Addressing safe and efficient interaction between connected and automated vehicles (CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable attent…

eess.SY2023★ 1 cited

Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles

Filippos N. Tzortzoglou, Dionysios Theodosis, Aditya Dave +1

Connected and automated vehicles (CAVs) provide the most intriguing opportunity for enabling users to monitor transportation network conditions and make better decisions for improv…

eess.SY2023★ 1 cited

An Approach for Optimizing Acceleration in Connected and Automated Vehicles

Filippos N. Tzortzoglou, Dionysios Theodosis, Andreas Malikopoulos

Vehicle automation technology has made significant progress, laying the groundwork for a future of fully automated vehicles. This paper delves into the operation of connected and a…