Identification of accident-prone road sections by using relative frequency method

Assuming that traffic accident occurrence is determined by some road and environment-related factors, and that future traffic accidents will occur under the same conditions as past traffic accidents this study investigates the use of Relative Frequency Method (RFM) (also called frequency ratio method) in the determination of accident-prone road sections. In this method, the number of accidents or accident rate is not used directly; instead, a relationship between accident number and environmental properties of road sections is established and this relationship is used for accident-prone road section identification. Thus, limitations of raw risk estimators are minimized. Besides, the effect of local conditions to accident proneness of a road can be reflected in a better way. No inherent assumptions about the distribution of the accident data are needed to apply this method. The method was tested on a highway in Trabzon province of Turkey. At the end of the study, sensitivity and specificity values were calculated as 1.00 and 0.83, respectively, which reflects that the method identified all of the “accident-prone” sections (there is no false negative) and the method has very strong ability to distinguish “relatively safe” sections. The most useful property of this simple method is that, if accident data do not exist due to any reason for some part of the road, the method can be still used to identify accident-prone sections by using road properties.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: References; Tables;
  • Pagination: pp 539-547
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01597674
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 22 2016 1:25PM