Technical Papers
Feb 22, 2022

Connected Preceding Vehicle Identification for Enabling Cooperative Automated Driving in Mixed Traffic

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 5

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 <10  s. 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:
Optimization program used to parameterize the PVIS-mixed,
The vehicle trajectory data used for the PVIS-mixed evaluation, and
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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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 5May 2022

History

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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Authors

Affiliations

Research Engineer, PCI Technology Group Co., Ltd., No. 2 Xincen Fourth Rd., Guangzhou 510630, China (corresponding author). ORCID: https://orcid.org/0000-0002-2344-5892. Email: [email protected]
Professor, Link Lab and Dept. of Engineering Systems and Environment, Univ. of Virginia, 151 Engineers Way, Charlottesville, VA 22904. ORCID: https://orcid.org/0000-0003-4597-6368. Email: [email protected]

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Cited by

  • Development and Evaluation of a Surrounding Vehicle Identification System for Mixed Traffic Cooperative Platooning, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-8496, 150, 12, (2024).
  • Construction and application of vehicle digital registration system, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 10.1117/12.2660307, (115), (2023).
  • Distributed Control of a Vehicular Platoon Using Event-Triggered Communication Strategy Based on State Estimation, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-7756, 149, 9, (2023).

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