8 citations · 19 across the 17 of their papers we have counts for
5 papers · 1 filter
Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections
Supriya Sarker, Bibek Poudel, Michael Villarreal +1
This paper explores the intricacies of traffic behavior at unsignalized intersections through the lens of a novel dataset, combining manual video data labeling and advanced traffic…
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
Human-driven vehicles (HVs) amplify naturally occurring perturbations in traffic, leading to congestion--a major contributor to increased fuel consumption, higher collision risks,…
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
Michael Villarreal, Bibek Poudel, Weizi Li
The surge in Reinforcement Learning (RL) applications in Intelligent Transportation Systems (ITS) has contributed to its growth as well as highlighted key challenges. However, defi…
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman, Bibek Poudel, Michael Villarreal +2
A prevalent limitation of optimizing over a single objective is that it can be misguided, becoming trapped in local optimum. This can be rectified by Quality-Diversity (QD) algorit…
Mixed Traffic Control and Coordination from Pixels
Michael Villarreal, Bibek Poudel, Jia Pan +1
Traffic congestion is a persistent problem in our society. Previous methods for traffic control have proven futile in alleviating current congestion levels leading researchers to e…