Jonathan Sprinkle — 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 ↗

2021

Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results

Fang-Chieh Chou, Marsalis Gibson, Rahul Bhadani, Alexandre M. Bayen, Jonathan Sprinkle

ICRA 2021poster

Motivated by earlier work and the developer of a new algorithm, the FollowerStopper, this article uses reachability analysis to verify the safety of the FollowerStopper algorithm, which is a controller designed for dampening stop-and-go traffic waves. With more than 1100 miles of driving data collec…

Cited by 7 Source ↗Scholar ↗