Are commercially implemented adaptive cruise control systems string stable?
Not on the map. Why?
Abstract (arXiv)
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 platoon 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.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 May 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 3; 2023: 4; 2024: 2; 2025: 2; 2026: 2.
13 papers.
Sort:
By area:
- 2022Automatic vehicle trajectory data reconstruction at scalecited by 8
- 2023The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle trackingcited by 3
- 2022Learning energy-efficient driving behaviors by imitating expertscited by 1
- 2022Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Makingcited by 1
- 2023Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approachcited by 1
- 2023RACER: Rational Artificial Intelligence Car-following-model Enhanced by Realitycited by 1
- 2024Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational testcited by 1
- 2023Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systemscited by 0
- 2024OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systemscited by 0
- 2025A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world datacited by 0
- 2025Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learningcited by 0
- 2026Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDARcited by 0
- 2026SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons7 Sep 2026
- 2026Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR27 Aug 2026
- 2025Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning7 Nov 2025
- 2025A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world data30 Sep 2025
- 2024OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems28 May 2024
- 2024Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test26 Feb 2024
- 2023RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality12 Dec 2023
- 2023Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach26 Oct 2023
- 2023Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems3 Sep 2023
- 2023The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking28 Aug 2023
- 2022Automatic vehicle trajectory data reconstruction at scale15 Dec 2022
- 2022Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making25 Oct 2022
1 more
- 2022Automatic vehicle trajectory data reconstruction at scalecited by 8
- 2023The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle trackingcited by 3
- 2022Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Makingcited by 1
- 2023Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approachcited by 1
- 2023RACER: Rational Artificial Intelligence Car-following-model Enhanced by Realitycited by 1
- 2023Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systemscited by 0
- 2025A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world datacited by 0
- 2026Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDARcited by 0
- 2026SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoonscited by 0
- 2026SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons7 Sep 2026
- 2026Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR27 Aug 2026
- 2025A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world data30 Sep 2025
- 2023RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality12 Dec 2023
- 2023Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach26 Oct 2023
- 2023Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems3 Sep 2023
- 2023The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking28 Aug 2023
- 2022Automatic vehicle trajectory data reconstruction at scale15 Dec 2022
- 2022Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making25 Oct 2022