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20222026
most citedOptimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems

2 citations · 5 across the 37 of their papers we have counts for

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26 papers · 1 filter

eess.SY2025

A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction

Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos

In this paper, we develop a hybrid prediction framework for accurate electric vehicle (EV) charging time estimation, a capability that is critical for trip planning, user satisfact…

eess.SY2025

Optimal Platoon Formation and Stable Benefit Allocation in Mixed-Energy Truck Fleets under Size Limitations

Ting Bai, Xinfeng Ru, Andreas A. Malikopoulos

In this paper, we investigate cooperative platoon formation and benefit allocation in mixed-energy truck fleets composed of both electric and fuel-powered trucks. The central chall…

eess.SY2025

Learning-Based Robust Bayesian Persuasion with Conformal Prediction Guarantees

Heeseung Bang, Andreas A. Malikopoulos

Classical Bayesian persuasion assumes that senders fully understand how receivers form beliefs and make decisions--an assumption that rarely holds when receivers possess private in…

eess.SY2025

Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks

Viet-Anh Le, Andreas A. Malikopoulos

In this paper, we present a learning-based framework that accelerates time- and energy-optimal trajectory planning for connected and automated vehicles (CAVs) using graph neural ne…

eess.SY2025

Combined Learning and Control: A New Paradigm for Optimal Control with Unknown Dynamics

Panagiotis Kounatidis, Andreas A. Malikopoulos

In this paper, we present the combined learning-and-control (CLC) approach, which is a new way to solve optimal control problems with unknown dynamics by unifying model-based contr…

eess.SY2025

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control

Tony Kinchen, Ting Bai, Nishanth Venkatesh S. +1

Urban traffic anomalies, such as collisions and disruptions, threaten the safety, efficiency, and sustainability of transportation systems. In this paper, we present a simulation-b…