Model based string stability of adaptive cruise control systems using field data

This article is motivated by the lack of empirical data on the performance of commercially available Society of Automotive Engineers level one automated driving systems. To address this, a set of car following experiments are conducted to collect data from a 2015 luxury electric vehicle equipped wit...

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Bibliographic Details
Published in:arXiv.org 2019-02
Main Authors: Gunter, George, Janssen, Caroline, Barbour, William, Stern, Raphael E, Work, Daniel B
Format: Article
Language:English
Subjects:
Adaptive control
Automobiles
Automotive engineering
Calibration
Car following
Control stability
Cruise control
Disturbances
Driving
Stability analysis
Velocity
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Summary:This article is motivated by the lack of empirical data on the performance of commercially available Society of Automotive Engineers level one automated driving systems. To address this, a set of car following experiments are conducted to collect data from a 2015 luxury electric vehicle equipped with a commercial adaptive cruise control (ACC) system. Velocity, relative velocity, and spacing data collected during the experiments are used to calibrate an optimal velocity relative velocity car following model for both the minimum and maximum following settings. The string stability of both calibrated models is assessed, and it is determined that the best-fit models are string unstable, indicating they are not able to prevent all traffic disturbances from amplifying into phantom jams. Based on the calibrated models, we identify the consequences of the string unstable ACC system on synthetic and empirical lead vehicle disturbances, highlighting that some disturbances can be dampened even with string unstable commercial ACC platoons of moderate size.
ISSN:2331-8422