7 papers
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…
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…
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding
Nishanth Venkatesh S., Heeseung Bang, Andreas A. Malikopoulos
In this paper, we expand the Bayesian persuasion framework to account for unobserved confounding variables in sender-receiver interactions. While traditional models assume that bel…
AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning
Weihao Sun, Heeseung Bang, Andreas A. Malikopoulos
In this paper, we present an adherence-aware reinforcement learning (RL) approach aimed at seeking optimal lane-changing recommendations within a semi-autonomous driving environmen…
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms
Armin Mokhtarian, Jianye Xu, Patrick Scheffe +11
Connected and automated vehicles and robot swarms hold transformative potential for enhancing safety, efficiency, and sustainability in the transportation and manufacturing sectors…
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…