Development of Quantitative Evaluation Index for Lane Change Behavior Based on Omnidirectional Risk Detection

This paper proposes an omnidirectional risk index that could evaluate the degree of potential risk in complicated driving situations. The omnidirectional risk index is the function of potential risks of all vehicles that surround a driver's vehicle. The authors aimed to evaluate how well drivers could notice and manage hidden risks using this index. Risks on lane changing maneuvers were evaluated using a driving simulator. Through analysis of the maneuvering data of lane changes, the authors could abstract two types of drivers who showed characteristic lane change behaviors. In one type, the risks for following vehicles increased as the lane change process preceded. In the other type, the backward risks showed almost no change. They guessed that this difference was due to preparation for lane changes. The latter driver checked and estimated how much acceleration was needed not to increase risk. Also, they performed traffic simulation experiments and developed mathematical models for two types of drivers using the omnidirectional index, comparing effects of lane changes with these two manners. It was shown that lane changes without care of backward risks would cause severe traffic congestion. It would be beneficial for all drivers to notify risks using the omnidirectional index and to make their driving behavior safer and smoother. It is believed that these benefits could convince drivers that the omnidirectional index is useful and effective to support their daily driving life.

• Record URL:
  • http://itswc.confex.com/itswc/WC2011/webprogram/Paper2166.html
• Availability:
  • Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Yamakage, Yuzuru
  • Hamaguchi, Shingo
  • Ozaki, Kazuyuki
• Conference:
  • 18th ITS World Congress
  • Location: Orlando Florida, United States
  • Date: 2011-10-16 to 2011-10-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 11p
• Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

• TRT Terms: Behavior; Crash risk forecasting; Driver performance; Driver support systems; High risk drivers; Lane changing; Traffic flow; Traffic safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01487186
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2013 1:52PM