Are commercially implemented adaptive cruise control systems string stable?

Jan 1, 2020·
George Gunter
George Gunter
,
Derek Gloudemans
,
Raphael E Stern
,
Sean McQuade
Rahul Bhadani
Rahul Bhadani
Matt Bunting
Matt Bunting
,
Maria Laura Dell Monache
,
Benjamin Seibold
Jonathan Sprinkle
Jonathan Sprinkle
,
Benedetto Piccoli
Dan Work
Dan Work
· 1 min read
DOI
Type
Publication
IEEE Transactions on Intelligent Transportation Systems
publications

In this article, we assess the string stability of seven 2018 model year adaptive cruise control (ACC) equipped vehicles that are widely available in the US market. Seven distinct vehicle models from two different vehicle makes are analyzed using data collected from more than 1,200 miles of driving in car-following experiments with ACC engaged by the follower vehicle. The resulting dataset is used to identify the parameters of a linear second order delay differential equation model that approximates the behavior of the black box ACC systems. The string stability of the data-fitted model associated with each vehicle is assessed, and the main finding is that all seven vehicle models have string unstable ACC systems. For one commonly available vehicle model that offers ACC as a standard feature on all trim levels, we validate the string stability finding with a multi-vehicle homogeneousplatoon experiment in which all vehicles are the same year, make, and model. In this test, an initial disturbance of 6 mph is amplified to a 25 mph disturbance, at which point the last vehicle in the platoon is observed to disengage the ACC. The data collected in the driving experiments is made available, representing the largest publicly available comparative driving dataset on ACC equipped vehicles.

George Gunter
Authors
PhD Student
Rahul Bhadani
Authors
PhD Student
Matt Bunting
Authors
Research Scientist
Dr. Matthew Bunting is a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. He joined Vanderbilt in 2022 having previously been a postdoctoral scholar at the University of Arizona from 2020-2022. His research is in embedded control software and visualization for cyber-physical systems.
Jonathan Sprinkle
Authors
Professor and Chair of Computer Science
Professor of Computer Science at Vanderbilt University. Research in cyber-physical systems, autonomous vehicles, and domain-specific modeling.
Dan Work
Authors
Professor
Dan Work is a Chancellor Faculty Fellow and professor in civil and environmental engineering, computer science, and the Institute for Software Integrated Systems at Vanderbilt University.