Abstract
To enable the safe and fast formation of connected automated vehicle (CAV) platoons in real-world traffic, a preceding vehicle identification system for mixed traffic (PVIS-mixed) is proposed. PVIS-mixed utilizes the vehicle’s radar measurements and global positioning system (GPS) measurements reported by surrounding connected vehicles to find the communication identity of the preceding vehicle. The design of PVIS-mixed is based on three goals: a low probability of making a wrong identification, a low probability of missing the connected preceding vehicle, and short time consumption of the identification procedure. The proposed PVIS-mixed is evaluated in highway traffic simulated by real vehicle trajectory data from the Next Generation Simulation (NGSIM) program. Evaluation results showed that the performance of PVIS-mixed is not related to the adoption rate of connected vehicles, and 1 m is found to be the required relative positioning accuracy to make 99th percentile time consumption . It was observed that the multipath bias of GPS positioning could affect the usability of CAV platooning. The possible solutions are then discussed as future work.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request:
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Optimization program used to parameterize the PVIS-mixed,
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The vehicle trajectory data used for the PVIS-mixed evaluation, and
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The simulation code used for the PVIS-mixed evaluation.
Acknowledgments
This research is in part supported by the US National Science Foundation under Grant No. CMMI-2009342, and in part supported by a generous unrestricted research fund given by Toyota Motor North America R&D.
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© 2022 American Society of Civil Engineers.
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Received: Jun 13, 2021
Accepted: Dec 21, 2021
Published online: Feb 22, 2022
Published in print: May 1, 2022
Discussion open until: Jul 22, 2022
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