Matthew Nice — accepted AI-conference papers

2024

Modifying Adaptive Cruise Control Systems for String Stable Stop-and -Go Wave Control

Fangyu Wu, Joy Carpio, Matthew R. Bunting, Matthew Nice, Daniel B. Work, Jonathan Sprinkle +3

RA-L 2024

This letter addresses the important issue of energy inefficiency and air pollution resulting from stop-and-go waves on highways by introducing a novel controller called the Attenuative Kerner's Model (AKM). The objective of AKM is to enhance an existing Adaptive Cruise Control (ACC) system to improv

Cited by 4 Source ↗Scholar ↗

2022

Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data

Nathan Lichtlé, Eugene Vinitsky, Matthew Nice, Benjamin Seibold, Dan Work, Alexandre M. Bayen

ICRA 2022poster

Autonomous vehicle-based traffic smoothing con-trollers are often not transferred to real-world use due to challenges in calibrating many-agent traffic simulators. We show a pipeline to sidestep such calibration issues by collecting trajectory data and learning controllers directly from trajectory d…

Cited by 45 Source ↗code ↗Scholar ↗