7 citations · 43 across the 20 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…
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 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…
Routing in Mixed Transportation Systems for Mobility Equity
Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos
This letter proposes a routing framework in mixed transportation systems for improving mobility equity. We present a strategic routing game that governs interactions between compli…
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…
A Study of an Atomic Mobility Game With Uncertainty Under Prospect Theory
Ioannis Vasileios Chremos, Heeseung Bang, Aditya Dave +2
In this paper, we present a study of a mobility game with uncertainty in the decision-making of travelers and incorporate prospect theory to model travel behavior. We formulate a m…
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos
In this paper, we investigate discrete-time decision-making problems in uncertain systems with partially observed states. We consider a non-stochastic model, where uncontrolled dis…