38 citations · 84 across the 20 of their papers we have counts for
11 papers · 1 filter
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…
Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
Heeseung Bang, Jung-Hoon Cho, Cathy Wu +1
In this paper, we aim to mitigate congestion in traffic management systems by guiding travelers along system-optimal (SO) routes. However, we recognize that most theoretical approa…
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…
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems
Heeseung Bang, Andreas A. Malikopoulos
In this paper, we introduce a hierarchical decision-making framework for emerging mobility systems. Despite numerous studies focusing on optimizing vehicle flow, practical feasibil…
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…
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…
Re-Routing Strategy of Connected and Automated Vehicles Considering Coordination at Intersections
Heeseung Bang, Andreas A. Malikopoulos
In this paper, we propose a re-routing strategy for connected and automated vehicles (CAVs), considering coordination and control of all the CAVs in the network. The objective for…
Combined Optimal Routing and Coordination of Connected and Automated Vehicles
Heeseung Bang, Behdad Chalaki, Andreas A. Malikopoulos
In this letter, we consider a transportation network with a 100\% penetration rate of connected and automated vehicles (CAVs) and present an optimal routing approach that takes int…