Uncertainty Study of Road Accident Reconstruction - Computational Methods

One purpose of accident reconstruction is to define the motion parameters of the participants before the accident. This paper examines some issues related to the assessment of computational accuracy concerning reconstruction of a vehicle's motion from the threat occurrence until the accident or accident avoidance. The basic method of computation credibility assessment is experimental verification of models. In the case of errors resulting from inaccuracies of value assessments for parameters, there are several methods that allow for assessing an error in analysis. These methods include determined methods (e.g., total differential method and extreme values method) and probabilistic methods (e.g., Gauss method, methods with the use of stochastic processes, Monte Carlo method). These methods were compared on the basis of their application in the case of a braking process study of a vehicle in rectilinear motion. Also for the aforementioned case, the results obtained by means of various computational methods of vehicle motion (analytical and simulation models) were compared with the outcome of the experimental study. Findings indicate the failure to consider inaccuracies in data assessment may lead to a false hypothesis of the course for a given accident situation. However, the selection of the best method depends on the adopted model of the analyzed phenomenon and the possibility to define data. Limitations of each method should be considered when choosing a method.


  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 163-177
  • Monograph Title: Accident Reconstruction 2005

Subject/Index Terms

Filing Info

  • Accession Number: 01005763
  • Record Type: Publication
  • ISBN: 0768015758
  • Files: TRIS
  • Created Date: Oct 4 2005 11:49PM