Preceding Vehicle Identification for Cooperative Adaptive Cruise Control Platooning in Mixed Traffic

To guarantee the safe and fast CACC platoon forming in real-world mixed traffic, a preceding vehicle identification system (PVIS) is proposed. This PVIS utilizes the subject vehicle’s radar measurements and GPS measurements reported by all surrounding vehicles to find the communication identity of the preceding vehicle. The design of PVIS is based on three goals, which are, the probability to make incorrect identification, the probability to miss the actual preceding vehicle, and the time consumption of identification procedure. The proposed PVIS is evaluated in highway traffic simulated by real vehicle trajectory data from NGSIM. To make the test even more realistic, the multipath bias of GPS positioning is modelled. The results show that the performance of PVIS is not related to the adoption rate of connected vehicle, and 1m is found the required relative positioning accuracy to make 99th percentile time consumption<10s. It is also observed that the incorrect identification didn’t appear in the evaluation, but PVIS had remarkable probability (up to 10%) to mistakenly take a connected preceding vehicle as unconnected. The possible approaches to address this problem is then discussed in this paper.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Chen, Zheng
    • Park, Brian
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01697383
  • Record Type: Publication
  • Report/Paper Numbers: 19-03673
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:26AM