USING ACCIDENT OBSERVATIONS TO EVALUATE REAR END ACCIDENT RISK AT FOUR-LEGGED SIGNALIZED INTERSECTIONS

Based on the microscopic analysis of the vehicle movements before a rear end collision, the occurrence of rear end accidents is considered to have two indispensable premises in this study - one is encountering of an obstacle vehicle, and the other is that the forthcoming vehicle driver failed to avoid the collision. Rear end accident risk is expressed as the product of the probability of the leading vehicles deceleration and the probability of the following driver failed to response effectively. A negative binomial regression model for estimating rear end accident risk by using accident observations is developed, and several factors were found to affect rear end accident risk significantly.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0080435904
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Wang, Yinhi
  • IEDA, H
  • Saito, K
  • Takahashi, K
• Conference:
  • World Transport Research: Selected Proceedings of the 8th World Conference on Transport Research
  • Location: Antwerp, Belgium
  • Date: 1998-7-12 to 1998-7-17
• Publication Date: 1999

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 123-136

Subject/Index Terms

• TRT Terms: Crash data; Crash rates; Crashes; Driver errors; Rear end crashes; Risk analysis; Signalized intersections
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00783972
• Record Type: Publication
• ISBN: 0080435904
• Report/Paper Numbers: Volume 2
• Files: TRIS, ATRI
• Created Date: Feb 9 2000 12:00AM