Literature DB >> 27061147

Calculation reliability in vehicle accident reconstruction.

Wojciech Wach1.   

Abstract

The reconstruction of vehicle accidents is subject to assessment in terms of the reliability of a specific system of engineering and technical operations. In the article [26] a formalized concept of the reliability of vehicle accident reconstruction, defined using Bayesian networks, was proposed. The current article is focused on the calculation reliability since that is the most objective section of this model. It is shown that calculation reliability in accident reconstruction is not another form of calculation uncertainty. The calculation reliability is made dependent on modeling reliability, adequacy of the model and relative uncertainty of calculation. All the terms are defined. An example is presented concerning the analytical determination of the collision location of two vehicles on the road in the absence of evidential traces. It has been proved that the reliability of this kind of calculations generally does not exceed 0.65, despite the fact that the calculation uncertainty itself can reach only 0.05. In this example special attention is paid to the analysis of modeling reliability and calculation uncertainty using sensitivity coefficients and weighted relative uncertainty.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Bayesian networks; Calculation reliability; Calculation uncertainty; Collision location; Daubert standard; Reconstruction of vehicle accidents

Year:  2016        PMID: 27061147     DOI: 10.1016/j.forsciint.2016.03.038

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  Methods for fusing uncertain results obtained from different models in accident reconstruction.

Authors:  Tiefang Zou; Fenglin He
Journal:  Forensic Sci Res       Date:  2020-01-27

2.  Research on the Circumstances of a Car-Cyclist Collision, Based on the Trajectory of the Cyclist's Movement after the Collision.

Authors:  Edgar Sokolovskij; Edvinas Juodka
Journal:  Sensors (Basel)       Date:  2022-08-23       Impact factor: 3.847

  2 in total

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