Literature DB >> 23954683

International transferability of accident modification functions for horizontal curves.

Rune Elvik1.   

Abstract

Studies of the relationship between characteristics of horizontal curves and accident rate have been reported in several countries. The characteristic most often studied is the radius of a horizontal curve. Functions describing the relationship between the radius of horizontal curves and accident rate have been developed in Australia, Canada, Denmark, Germany, Great Britain, New Zealand, Norway, Portugal, Sweden, and the United States. Other characteristics of horizontal curves that have been studied include deflection angle, curve length, the presence of transition curves, super-elevation in curves and distance to adjacent curves. This paper assesses the international transferability of mathematical functions (accident modification functions) that have been developed to relate the radius of horizontal curves to their accident rate. The main research problem is whether these functions are similar, which enhances international transferability, or dissimilar, which reduces international transferability. Accident modification functions for horizontal curve radius developed in the countries listed above are synthesised. The sensitivity of the functions to other characteristics of curves than radius is examined. Accident modification functions developed in different countries have important similarities. The functions diverge with respect to accident rate in the sharpest curves.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Accident modification functions; Horizontal curves; International transferability; Radius; Synthesis

Mesh:

Year:  2013        PMID: 23954683     DOI: 10.1016/j.aap.2013.07.010

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  ROCA - An ArcGIS toolbox for road alignment identification and horizontal curve radii computation.

Authors:  Michal Bíl; Richard Andrášik; Jiří Sedoník; Vojtěch Cícha
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

  1 in total

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