most citedCan ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2023

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…

cs.CY2023

Analyzing Emissions and Energy Efficiency at Unsignalized Real-world Intersections Under Mixed Traffic Control

Michael Villarreal, Dawei Wang, Jia Pan +1

Greenhouse gas emissions have dramatically risen since the early 1900s with U.S. transportation generating 28% of U.S. emissions. As such, there is interest in reducing transportat…

cs.AI2023★ 5 cited

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…

cs.MA2023

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…

cs.LG2022

AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning

Michael Villarreal, Bibek Poudel, Ryan Wickman +2

With the growing use of machine learning algorithms and ubiquitous sensors, many `perception-to-control' systems are being developed and deployed. To ensure their trustworthiness,…