Calibrating Microscopic Car-Following Models for Adaptive Cruise Control Vehicles: Multiobjective Approach
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 1
Abstract
Adaptive cruise control (ACC) vehicles are the first step toward comprehensive vehicle automation. However, the impacts of such vehicles on the underlying traffic flow are not yet clear. Therefore, it is of interest to accurately model vehicle-level dynamics of commercially available ACC vehicles so that they may be used in further modeling efforts to quantify the impact of commercially available ACC vehicles on traffic flow. Importantly, not only model selection but also the calibration approach and error metric used for calibration are critical to accurately model ACC vehicle behavior. In this work, we explore the question of how to calibrate car-following models to describe ACC vehicle dynamics. Specifically, we apply a multiobjective calibration approach to understand the trade-off between calibrating model parameters to minimize speed error versus spacing error. Three different car-following models are calibrated for data from seven vehicles. The results are in line with recent literature and verify that targeting a low spacing error does not compromise the speed accuracy whether the opposite is not true for modeling ACC vehicle dynamics.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies. Specifically, the data used for this study consists of leader-follower car-following trajectories for seven distinct, commercially available ACC vehicles and can be downloaded at https://vanderbilt.box.com/v/accData.
Acknowledgments
This work is supported by the Faculty Fellows Program at the Center for Transportation Studies at the University of Minnesota and by the US Department of Energy Vehicle Technologies Office under the Systems and Modeling for Accelerated Research in Transportation Mobility Laboratory Consortium, an initiative of the Energy Efficient Mobility Systems Program.
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Journal of Transportation Engineering, Part A: Systems
Volume 147 • Issue 1 • January 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: May 12, 2020
Accepted: Aug 28, 2020
Published online: Nov 11, 2020
Published in print: Jan 1, 2021
Discussion open until: Apr 11, 2021
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