A RSE-Assisted GPS-RSS Hybrid Lane-Level Positioning System for Connected Vehicles

In this paper, a roadside equipment (RSE)–assisted positioning method, i.e., global positioning system (GPS)–received signal strength (RSS) hybrid positioning is developed to improve the performance of lane-level positioning, which can be fundamental in intelligent transportation systems (ITS), especially safety-related applications of ITS. By exploiting the potential of RSE, a key component in connected vehicle networks, it is possible to achieve higher accuracy on top of the GPS positioning. The proposed method utilizes received signal strength data, which is commonly accessible in connected vehicle networks, to update GPS positioning and improve its accuracy based on a Bayesian approach. As a result, the proposed method features higher accuracy compared to GPS positioning and low complexity while requiring no additional hardware. A method for lane positioning at a specific point is given first, and then an extension to allow real-time lane positioning is proposed. Two RSE deployments are considered and the performance of the proposed method in each deployment is compared. To evaluate the proposed method, simulations are conducted and the results demonstrate high accuracy and robustness. Moreover, a field test is also conducted and the results show that the proposed method can recognize the lane in which the test vehicle is traveling.

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  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems. Alternate title: Roadside-Equipment-Assisted GPS-RSS Hybrid Lane-Level Positioning for Connected Vehicles
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Li, Jiangchen
    • Gao, Jie
    • Zhang, Hui
    • Qiu, Tony Z
  • Conference:
  • Publication Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 17p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01590331
  • Record Type: Publication
  • Report/Paper Numbers: 16-3072
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 12 2016 5:22PM