Analyzing Slowing-Down and Stopping Behavior to Check the Surroundings when Entering an Intersection

To build a system to analyze and visualize driving risks and to reduce accidents at intersections, we are working to develop technologies for analyzing stopping and slowing-down behavior immediately before entering an intersection, important steps in preventing accidents. The author have developed a technology that analyzes lateral images taken by cameras attached to both sides of a vehicle and accurately identifies different entry points for each intersection ( the boundary between the intersection and any barriers, such as buildings adjacent to the intersection). This technology makes it possible to perform a detailed analysis of driving behavior by comparing a vehicle’s behavior, such as a change in speed, before and after reaching entry points to an intersection. This paper shows how this technology can be used to analyze specific behaviors that need to be avoided to improve driving safety, including risk factors that differ from driver to driver.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3038.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Karasudani, Ayu
  • Yumoto, Asako
  • Nakayama, Osafumi
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 9p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Behavior; Drivers; Highway safety; Image analysis; Intersections; Risk analysis; Speed; Stopping
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I83: Accidents and the Human Factor; I90: Vehicles;

Filing Info

• Accession Number: 01535347
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Aug 27 2014 10:47AM