@article{ref1,
title="Connected preceding vehicle identification for enabling cooperative automated driving in mixed traffic",
journal="Journal of transportation engineering, Part A: Systems",
year="2022",
author="Chen, Zheng and Park, B. Brian",
volume="148",
number="5",
pages="e04022013-e04022013",
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 <10s<10  s<math display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mo form=&quot;prefix&quot;><</mo><mn>10</mn><mtext>  </mtext><mi mathvariant=&quot;normal&quot;>s</mi></mrow></math>. 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.<p /> <p>Language: en</p>",
language="en",
issn="2473-2907",
doi="10.1061/JTEPBS.0000661",
url="http://dx.doi.org/10.1061/JTEPBS.0000661"
}