Prototype Implementation and Positioning Performance Results of the GAIN Enhanced Active Green Driving Assistant

The aim of the GAIN project is to enhance the positioning performance of an already existing Active Green Driving Assistant (AGD) and to extend it to an Enhanced Active Green Driving (EAGD) system for real time optimization, reduction of CO₂ emission and fuel consumption. Due to erroneous positioning solutions, the existing AGD prototype often proposes inappropriate maneuvers to the driver. This avoids a successful market entry of the existing green driving application. To remove this limitation new positioning strategies for low-cost Global Navigation Satellite System (GNSS) receivers will be implemented in GAIN. These approaches have a special focus on integrity issues in order to prevent the application from taking misleading decisions. That refined positioning algorithm will be introduced in this paper. The proposed positioning solution is based on Galileo/Global Positioning System (GPS) and EGNOS/EDAS. The concept of position integrity is introduced and used to innovatively detect multipath in urban areas through a GNSS/INS tightly coupled approach and three dimensional (3D) modeling of the environment with probabilistic multipath mitigation. This paper gives an overview about the GAIN prototype implementation and shows first results of the positioning performance.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 2907.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Streiter, Robin
    • Obst, Marcus
    • Liberto, Carlo
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Maps; References;
  • Pagination: 10p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01539244
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Sep 3 2014 4:48PM