Research on Skillful Drivers’ Merging Behaviors and Statistical Analysis of Traffic Lane Flow for an Investigation of Automatic Merging Assessment Method

AM (Automatic Merging) is a driving support system which helps drivers to merge into a traffic lane. It is required to set its performance assessment method to see whether it meets people’s driving style of each country or region. In this paper, the authors propose methodologies to set suitable assessment method of AM (target performances and test conditions) which can be applied in each country or region. As for target performances, suitable ones are set by studying Japanese skillful drivers’ merging behaviors on highway and on test track. As for test conditions, a new method is proposed to calculate the possibility that a merging vehicle encounters a difficult situation by analyzing traffic camera and cloud data, which allows us to set reasonable test conditions as “X%ile difficulty” of real environment. These methodologies can be applied not only in Japan but also in other countries or regions.

• Record URL:
  https://www-nrd.nhtsa.dot.gov/departments/esv/26th/
• Record URL:
  https://www-esv.nhtsa.dot.gov/Proceedings/26/26ESV-000207.pdf
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/19-0051
• Supplemental Notes:
  • Paper Number: 19-0207-O
• Corporate Authors:

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Nunobiki, Eiji
  • Harada, Kota
  • Kondo, Yoichi
  • Minami, Koei
• Conference:
  • 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Technology: Enabling a Safer Tomorrow
  • Location: Eindhoven , Netherlands
  • Date: 2019-6-10 to 2019-6-13
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 8p
• Monograph Title: 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Enabling a Safer Tomorrow

Subject/Index Terms

• TRT Terms: Automated vehicle control; Behavior; Driver support systems; Drivers; Merging traffic; Traffic flow; Traffic lanes
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01762211
• Record Type: Publication
• Report/Paper Numbers: 19-0207
• Files: TRIS, ATRI, USDOT
• Created Date: Dec 15 2020 11:41AM