Improving the quality of auto-technical examination of road accidents in conditions of composition uncertainty

Authors

  • Andriy Kashkanov Vinnitsa National Technical University
  • Serhiy Reiko Zhytomyr Research Forensic Center of the Ministry of Internal Affairs of Ukraine
  • Vasyl Diorditsa Vinnytsia Research Forensic Center of the Ministry of Internal Affairs of Ukraine
  • Vitaliy Kashkanov Vinnitsa National Technical University
  • Anastasia Kashkanova Vinnitsa National Technical University

DOI:

https://doi.org/10.31649/2413-4503-2020-12-2-61-67

Keywords:

compositional uncertainty, traffic accident, decision making, objectivity of expert conclusions, quality of auto technical examination

Abstract

Decision-making in solving the problems of auto technical examination of road accidents (road accidents) is carried out in conditions of incomplete information, ie in conditions of uncertainty, which may be stochastic or fuzzy in nature, and therefore is compositional. When forming expert opinions of auto technical examination of road accident the general uncertainty is formed due to uncertainty of the chosen structure of model of road accident, experimental data, error of measuring devices, adequacy of model of road accident, uncertainty of indications of witnesses and other proofs, competence and honesty of the expert. The calculation of vehicle parameters in motor vehicle expertise in the vast majority of cases is performed without estimating the error of the results, which does not meet the requirements of the Law of Ukraine "On Metrology and Metrological Activity" and determines the relevance of improving methods of solving road accident technical examination.

The paper reveals the prospects of improving the existing methods of assessing the effectiveness of braking of wheeled vehicles, as the main way to prevent accidents in road transport, which is regulated by the current Traffic Rules. The basic theoretical dependences which form a basis of the improved technique of estimation of parameters of movement of cars at braking are presented. Analysis of the results of the calculations shows that by taking into account the design of the braking system, type and condition of tires used in assessing braking efficiency, the improved technique avoids the same solutions within one category of vehicles, and taking into account stochastic and fuzzy uncertainty narrows the range of possible solutions by  49.4 %. The probability of occurrence of type I errors is reduced by 1.75-18.5%, and type II errors - by 43.1-67.8%.

Author Biographies

Andriy Kashkanov, Vinnitsa National Technical University

Dr. Sc. (Eng.), Associate Professor, Professor of the Chair of Automobiles and Transportation Management

Serhiy Reiko, Zhytomyr Research Forensic Center of the Ministry of Internal Affairs of Ukraine

Deputy Director, Head of the Department of Automotive Research and Forensic Research of Vehicles

Vasyl Diorditsa, Vinnytsia Research Forensic Center of the Ministry of Internal Affairs of Ukraine

Head of the Automotive Research Sector

Vitaliy Kashkanov, Vinnitsa National Technical University

Ph. D. (Eng), Associate Professor, Associate Professor of the Department of Automobiles and Transport Management

Anastasia Kashkanova, Vinnitsa National Technical University

Master's student of the Department of Automobiles and Transport Management

References

Статистика. Патрульна поліція України. Веб-сайт. URL: http://patrol.police.gov.ua/wp-content/uploads/2020/07/DTP-12-2019-1.xls (дата звернення 09.10.2020).

А. А. Кашканов, Технології підвищення ефективності автотехнічної експертизи дорожньо-транспортних. – Вінниця: ВНТУ, 2018, 160 с.

M. R. Brach, M. Guzek, and Z. Lozia, “Uncertainty of road accident reconstruction computations”, [in:] Proceedings of the 16th Annual EVU Congress, Institute of Forensic Research Publisher, Kraków 2007, pp. 35–50.

M. Brach, and R. Brach, Vehicle Accident Analysis and Reconstruction Methods. SAE International, 2011. 442 p.

W.Bartlett, , and A. Fonda, Evaluating uncertainty in accident reconstruction with finite differences, SAE Technical Paper No. 2003-01-0489, Warrendale, PA, 2003, doi:10.4271/2003-01-0489.

А. А. Кашканов, «Методика оцінювання і зменшення невизначеності в задачах автотехнічної експертизи дорожньо-транспортних пригод», Вісник машинобудування та транспорту, №1(11), с. 71-78, 2020. doi: 10.31649/2413-4503-2020-11-1-71-78.

Науково-методичні рекомендації з питань підготовки та призначення судових експертиз та експертних досліджень (у редакції наказу Міністерства юстиції України від 26.12.2012 № 1950/5 зі змінами № 1350/5 від 27.07.2015).

В. П. Волков, і Г. Б. Вільський, Теорія руху автомобіля. – Суми: Університетська книга, 2010, 320 c.

Bosch Automotive Handbook. 9th Edition / [Reif K., Dietsche K.-H. & others]. – Karlsruhe: Robert Bosch GmbH, 2014. 1544p.

А. М. Туренко, В. І. Клименко, О. В. Сараєв, і С. В. Данець, Автотехнічна експертиза. Дослідження обставин ДТП – Харків: ХНАДУ, 2013, 320 с.

В. А. Иларионов, Экспертиза дорожно-транспортных происшествий. – Москва: Транспорт, 1989, 255 с.

Best Practice Manual for Road Accident Reconstruction, ENFSI-BPM-RAA-01. Version 01 - November 2015. European Network of Forensic Science Institutes. 21 p.

A. A. Kashkanov, V. M. Diorditsa, V. Yu. Kucheruk, D. Zh. Karabekova, A. K. Khassenov, і A. M. Sharzadin, “Inertial evaluation of the tyre-road interaction during emergency braking”, Bulletin of the Karaganda University. «Physics» series, no. 2(94), pp. 82–91. https://doi.org/10.31489/2019Ph2/82-91.

A. A. Kashkanov, A. P. Rotshtein, V. Yu. Kucheruk, and V. A. Kashkanov, “Tyre-Road friction Coefficient: Estimation Adaptive System” Bulletin of the Karaganda University. «Physics» series, 2020, no. 2(98), pp. 50-59. DOI: 10.31489/2020Ph2/50-59.

С. А. Аземша, В. Н. Галушко, і С. В. Скирковский, «Совершенствование экспертного анализа дорожно-транспортных происшествий с помощью компьютерных программ моделирования», Наука и техника, № 4, с. 18–24, 2015.

Экспресс анализ ДТП ExpAn. Веб-сайт. URL: https://soft.mydiv.net/win/download-Yekspress-analiz-DTP-ExpAn.html (дата звернення 18.10.2020).

PC-Crash. The Expert`s Choice. Collision & Trajectory Physics Simulation. Веб-сайт. URL: http://www.pc-crash.com (дата звернення 18.10.2020).

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Published

2021-02-11

How to Cite

[1]
A. Kashkanov, S. Reiko, V. Diorditsa, V. Kashkanov, and A. Kashkanova, “Improving the quality of auto-technical examination of road accidents in conditions of composition uncertainty”, ВМТ, vol. 12, no. 2, pp. 61–67, Feb. 2021.

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