Share This Article:

The Accuracy Analysis of Measurement Tools for Traffic Accident Investigation

Abstract Full-Text HTML XML Download Download as PDF (Size:300KB) PP. 84-92
DOI: 10.4236/jtts.2014.41008    6,081 Downloads   8,817 Views   Citations

ABSTRACT

The objective of traffic accident reconstruction is to recreate the event, which is necessary for analyzing the collision dynamics that is used as evidence in court cases. Traffic accident reconstruction and a demonstration of the event require precise data pertaining to scene measurement. However, there are differences between the individual measuring tools and methods related to traffic accident investigation, just as there are differences between the extent of their use and measurement accuracy. The most commonly applied method is the measuring tape, followed by measurements with total stations and laser rangefinders, while photogrammetry is also becoming increasingly important. The advantages and disadvantages of individual tools and methods affect the required number of investigators, portability, measurement range, applicability depending on the amount of light and weather conditions, on the possibility of remote measurement, on data collection time, on the scope, on the option to later process, the collected data and above all on the accuracy of all gathered data. The latter is crucial for proving the guilt or innocence of traffic accident participants at court, as inaccurate data can lead to an unjust sentence. Measurement accuracy using the above mentioned tools and methods also varies depending on which ones are used, as well as on other factors.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

D. Topolšek, E. Herbaj and M. Sternad, "The Accuracy Analysis of Measurement Tools for Traffic Accident Investigation," Journal of Transportation Technologies, Vol. 4 No. 1, 2014, pp. 84-92. doi: 10.4236/jtts.2014.41008.

References

[1] X. G. Du, X. L. Jin, X. Y. Zhang, J. Shen and X. Y. Hou, “Geometry Features Measurement of Traffic Accident for Reconstruction Based on Close-Range Photogrammetry,” Advances in Engineering Software, Vol. 40, No. 7, 2009, pp. 497-505.
http://dx.doi.org/10.1016/j.advengsoft.2008.09.002
[2] J. R. Walton, M. L. Barrett and K. R. Agent, “Evaluation of Methods to Limit the Time Taken to Investigate Crash Site,” Kentucky Transportation Center, Kentucky, 2005.
[3] P. Duignan, M. Griffiths and A. Lie, “Photogrammetric Methods in Crash Investigation,” Proceedings of the 15th International Technical Conference on Enhanced Safety of Vehicles, Melbourne, 13-16 May 1996, pp. 1514-1518.
[4] C. S. Fraser and H. B. Hanley, “Developments in Close-Range Photogrammetry for 3D Modelling: The iWitness Example,” Processing and Visualization Using High-Resolution Imagery, International Society of Photogrammetry and Remote Sensing, 2004.
[5] M. A. Khan, A. S. Kathairi and A. M. Grib, “A GIS Based Traffic Accident Data Collection, Referencing and Analysis Framework for Abu Dhabi,” Proceeding Codatu XI, 2004.
[6] V. Pagounis, M. Tsakiri, S. Palaskas, B. Biza and E. Zaloumi, “3D Laser Scanning for Road Safety and Accident Reconstruction,” XXIII FIG Congress, Munich, 2006.
[7] C. S. Fraser, H. B. Hanley and S. Cronk, “Close-Range Photogrammetry for Accident Reconstruction,” Optical 3D Measurements, Vol. 7, 2005, pp. 115-127.
[8] D. Massa and B. Roger, “Using Three-Dimensional Digitization to Model a Vehicle,” Accident Reconstruction: Technology and Animation VIII, International Congress and Exposition, 1998.
[9] P. Forman and I. Parry, “Rapid Data Collection at Major Incident Scenes Using Three Dimensional Laser Scanning Techniques,” IEEE 35th International Carnahan Conference on Security Technology, Londres, 16-19 October 2001, pp. 60-67.
[10] L. E. Jacobson, B. Legg and A. O’Brian, “Incident Management Using Total Stations,” Washington State Transportation Center, University of Washington, Washington, 1992.
[11] B. Jenkins, “Laser Scanning for Forensic Investigation”, SparView, Vol. 3, 2005, pp. 21-22.
[12] T. Zou, Z. Yu, M. Cai and J. Liu, “Two Non-Probabilistic Methods for Uncertainty Analysis in Accident Reconstruction,” Forensic Science International, Vol. 198, No. 1, 2010, pp. 134-137.
http://dx.doi.org/10.1016/j.forsciint.2010.02.006
[13] B. Randles, B. Jones, J. Welcher, T. Szabo, D. Elliott and C. MacAdams, “The Accuracy of Photogrammetry vs. Hands-On Measurement Techniques Used in Accident Reconstruction,” SAE 2010 World Congress & Exhibition, 2010.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.