38 citations · 97 across the 57 of their papers we have counts for
8 papers · 1 filter
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…
Distributed Charging Coordination for Electric Trucks under Limited Facilities and Travel Uncertainties
Ting Bai, Yuchao Li, Andreas A. Malikopoulos +2
In this work, we address the problem of charging coordination between electric trucks and charging stations. The problem arises from the tension between the trucks' nontrivial char…
A Note for CPS Data-driven Approaches Developed in the IDS Lab
Andreas A. Malikopoulos
The rapid evolution of Cyber-Physical Systems (CPS) across various domains like mobility systems, networked control systems, sustainable manufacturing, smart power grids, and the I…
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…
Safe Merging in Mixed Traffic with Confidence
Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos
In this letter, we present an approach for learning human driving behavior, without relying on specific model structures or prior distributions, in a mixed-traffic environment wher…
A Feasibility Analysis at Signal-Free Intersections
Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos
In this letter, we address the problem of improving the feasible domain of the solution of a decentralized control framework for coordinating connected and automated vehicles (CAVs…
A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems
Aditya Dave, Heeseung Bang, Andreas A. Malikopoulos
Many cyber-physical-human systems (CPHS) involve a human decision-maker who may receive recommendations from an artificial intelligence (AI) platform while holding the ultimate res…
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization
Viet-Anh Le, Andreas A. Malikopoulos
In this work, we propose a framework for adapting the controller's parameters based on learning optimal solutions from contextual black-box optimization problems. We consider a cla…