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Transport Problems

Silesian University of Technology

Subject: Economics, Transportation, Transportation Science & Technology


eISSN: 2300-861X



VOLUME 15 , ISSUE 2 (June 2020) > List of articles



Keywords : fraudulent claim; impact verification; SDC method; V-SIM

Citation Information : Transport Problems. Volume 15, Issue 2, Pages 33-44, DOI:

License : (CC BY 4.0)

Received Date : 13-January-2019 / Accepted: 03-June-2020 / Published Online: 18-June-2020



The number of motor vehicles in the European Union (EU) is constantly increasing, which is causing an increase in the traffic volume. This, in turn, boosts the economic development of the EU member states. However, an increase in traffic volume leads to road collisions and accidents, which lead to high repair costs. Some accident victims report fake vehicle damage to extort money for repairs. There are criminal groups that stage accidents for this purpose; thus, these claims are very difficult to verify. Thus, it is not enough to verify the sustained damage only by comparing the geometric parameters of the impact traces. New, modern research methods with simulation programs need to be used in order to reconstruct the course of an accident. The SDC (Static Dynamic Characteristic method) provides the possibility of vehicle damage verification, according to this convention. However, simplified modelling with the use of simulation programs involves the necessity of identification of input parameters in order to reconstruct a collision and the vehicle’s post- collision movement. If the input parameters are not correct, the simulation results will also be incorrect, which will have a direct impact on the parties involved in potential legal proceedings, both civil and criminal. This study deals with the identification of the impact parameters and sensitivity of the simulation results to input data. Impact verification with the SDC method shows both a knowledge enhancement and a practical value. They can be used by experts, expert witnesses, computer programmers, researchers and students.

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1. Raport przestępczości ubezpieczeniowej 2017r. Available at: [In Polish: Insurance crime report 2017. Polish Insurance Chamber].

2. Aleksandrowicz, P. Verifying a truck collision applying the SDC method. In: 58th International Conference of Machine Design Departments. Prague. 2017. P. 14-19.

3. Wach, W. & Unarski, J. Determination of vehicle velocities and collision location by means of Monte Carlo simulation method. SAE Technical Paper. 2006. No. 2006-01-0907.

4. Wach, W. & Unarski, J. Uncertainty of calculation results in vehicle collision analysis. Forensic Science International. 2006. Vol. 167. No. 2-3. P. 181-188.

5. Wach, W. Wiarygodność strukturalna rekonstrukcji wypadków drogowych. Kraków: Wydawnictwo Instytutu Ekspertyz Sądowych. 2014. [In. Polish: Wach, W. Structural reliability of the reconstruction of road accidents. Institute of Forensic Research Publishers in Cracow].

6. Prentkovskis, O. & Sokolovskij, E. & Bartulis, V. Investigating traffic accidents: a collision of two motor vehicles. Transport. 2010. Vol. 25. No. 2. P. 105-115.

7. Porteš, P. & Kučera, P. & Pištěk, V. & Fojtášek, J. & Zháňal, L. Modern tools for vehicle development. In: 23rd International Conference Engineering Mechanics. Svratka. 2017. P. 54-57.

8. Kučera, P. & Pištěk, V. Prototyping a system for truck differential lock control. 2019. Sensors. Vol. 19. No. 16. P. 1-18. DOI: 10.3390 / s19163619.

9. Kučera, P. & Pištěk, V. Testing of the mechatronic robotic system of the differential lock control on a truck. International Journal of Advanced Robotic Systems. 2017. Vol. 14. No. 5. P. 1-7. DOI: 10.1177/1729881417736897.

10. Wenguo, Qi. & Jin, X. & Zhang, X. Improvement of energy-absorbing structures of a commercial vehicle for crashworthiness using finite element method. The International Journal of Advanced Manufacturing Technology. 2005. Vol. 30. Nos. 11-12. P. 1001-1009.

11. Guibing, L. & Jikuang Y. Influence of vehicle front structure on compatibility of passenger car-toSUV frontal crash. In: Proceedings of 3rd International Conference on Digital Manufacturing and Automation. GuiLin. 2012. P. 492-495.

12. Thota, N. & Jayantha, A. & Epaarachchi, J. & Lau, K. CAE simulation based methodology for Airbag compliant vehicle front protection system development. International Journal of Vehicle Structures & Systems. 2013. Vol. 5. Nos. 3-4. P. 95-104.

13. Dias de Meira, A. & Iturrioz, I. & Walber, M. & Goedel, F. Numerical Analysis of an Intercity Bus Structure: A Simple Unifilar Model Proposal to Assess Frontal and Semifrontal Crash Scenarios. Latin American Journal of Solids and Structures. 2016. Vol 13. No. 9. P. 1616-1640.

14. Zhang, X. & Xianlong, J. & Qi, W. & Guo, Y. Vehicle crash accident reconstruction based on the analysis 3D deformation of the auto-body. Advances in Engineering Software. 2015. Vol. 39. No. 6. P. 459-465.

15. Stopel, M. & Skibicki, D. & Cichański, A. Determination of the Johnson-Cook damage parameter D4 by Charpy impact testing. Materials Testing. 2017. Vol. 60. No. 10. P. 974-978.

16. Stopel, M. & Skibicki, D. & Moćko, W. Method for determining the strain rate sensitivity factor for the Johnson-Cook model in Charpy tests. Materials Testing. 2017. Vol. 59. Nos. 11-12. P. 965- 973.

17. Cichański, A. & Stopel, M. Experimental validation of the numerical model of a testing platform impact on a road mast. Solid State Phenomen. 2015. Vol. 224. P. 222-25. DOI:10.4028/

18. Use SDC. Available at:

19. Zalewski, J. Selected problems of motor vehicle maintenance after side impact collision. MATEC Web Conf. Paper No. 01019 182. DOI: 10.1051/matecconf/201818201019.

20. Smit, S. & Tomasch, E. & Kolk, H. & Plank, M. & Gugler, J. & Glaser, H. Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS. European Transport Research Review. 2019. Vol. 11. DOI: 10.1186/s12544-018-0343-3.

21. Gidlewski, M. & Prochowski, L. & Jemioł, L. & Żardecki, D. The process of front-to-side collision of motor vehicles in terms of energy balance. 2019. Nonlinear Dynamics. Vol. 97. P. 1877-1893. DOI: 10.1007/s11071-018-4688-x.

22. Aleksandrowicz, P. Selection of collision detection model on the basis of a collision of incompatible vehicles. In: Proceedings of 24th International Conference Engineering Mechanics. Svratka. 2018. P. 21-24.

23. Bułka, D. V- SIM4 – Instrukcja obsługi. Kraków: CIBID. 2016. [In. Polish: Bulka, D. V-SIM4 – User manual. CIBID].

24. Prochowski, L. & Ziubiński, M. & Pusty, T. Experimental and analytic determining of the characteristics of deformation and side stiffness of a motor car body based on results of side-impact crash tests. IOP Conf. Series: Materials Science and Engineering. Paper No. 421 032025. DOI:10.1088/1757-899X/421/3/032025.

25. Żuchowski, A. The use of energy methods at the calculation of vehicle impact velocity. The Archives of Automotive Engineering. Scientific Publishers of the Industrial Motorization Institute. 2015. Vol. 68. No. 2. P. 86-111.

26. Kostek, R. & Aleksandrowicz, P. Simulation of car collision with an impact block. In: Proceedings of 11th International Congress of Automotive and Transport Engineering. Pitesti. 2017. DOI: 10.1088/1757-899X/252/1/012008.

27. Kostek, R. & Aleksandrowicz, P. Study of vehicle crashes into a rigid barrier. Transactions of the Canadian Society for Mechanical Engineering. 2019. DOI: 10.1139/tcsme-2018-0057.

28. Gulyaev, V. & Loginov, N. & Kozlov, A. Method of designing the superstructure of the car body based on the requirements of low-speed collisions. In: 9th International Scientific Practical Conference on Innovative Technologies in Engineering. Journal of Physics, Conference Series. 2018. Vol. 1059. DOI: 10.1088/1742-6596/1059/1/012021.

29. Crash test of Audi A4. Available at:

30. SDC Program. Available at: