Verification of motor vehicle post accident insurance claims

• Autorzy: Aleksandrowicz Piotr

Identyfikatory

DOI

10.21307/tp-2020-003

• Języki publikacji: EN

Abstrakty

EN

Use of a vehicle involves a risk of collision and, consequently, high costs of post-accident repairs. Therefore, if there is no insurance cover and the repair must be paid by the vehicle owner, some of them choose to file fraudulent insurance claims as the damage can be very difficult to verify. Payments of undue damages pose a major social and economic problem. This article deals with these problems and puts forward a proposition of insurance claim verification by means of a new research method to increase the efficiency of detection and elimination of such claims. This new method requires division of the damage-verification process into static analysis (S), dynamic analysis (D) and analysis of characteristic damage (C). The obtained results show that insurance companies have had problems with selection of appropriate research methods to verify the insurance claims. Application of the proposed new method allows to reduce payments of undue damages and the costs of court proceedings.

Słowa kluczowe

EN

damage claims; verification of claims; fraud; SDC method

PL

uszkodzenie pojazdu; weryfikacja roszczeń; oszustwo; metoda SDC

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2020
• Tom: T. 15, z. 1
• Strony: 25--38
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Aleksandrowicz Piotr

• University of Science and Technology, Institute of Automation and Transport, Machine Maintenance Department, Al. prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland

Bibliografia

• 1. Stan bezpieczeństwa ruchu drogowego oraz działania realizowane w tym zakresie w 2017 r. Available at: http://www.krbrd.gov.pl/pl/test.html [In Polish: The state of road traffic safety and activities carried out in this area in 2017. National Road Safety Council].
• 2. Raport przestępczości ubezpieczeniowej 2017 r. Available at: https://piu.org.pl/nowy-raport-oprzestepczosci-ubezpieczeniowej [In Polish: Insurance crime report 2017. Polish Insurance Chamber].
• 3. Rabek, V. Oszustwa w dziedzinie ubezpieczeń komunikacyjnych. Paragraf na Drodze. 2013. Vol. 1. No. 7. P. 43-68. [In Polish: Rabek, V. Frauds in the field of the motor vehicle insurance. Paragraph on the Road, Institute of Court Expertise].
• 4. Aleksandrowicz, P. Analysis of vehicle collisions with the SDC method. Proceedings of 23rd International Conference Engineering Mechanics. Svratka. 2017a. P. 78-81.
• 5. Static method (S). Available at: https://youtu.be/Q5gFSFDG-5s.
• 6. Zhang, X. & Jin, X. & Qi, W. & Guo, Y. Vehicle crash accident reconstruction based on the analysis 3D deformation of the auto-body. Advances in Engineering Software. 2008. Vol. 39. No. 6. P. 459-465.
• 7. 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. No. 11-12. P. 1001-1009.
• 8. Prentkovskis, O. & Sokolovskij, E. & Bartulis, V. Investigating traffic accidents: a collision of two motor vehicles. Transport. 2010. Vol. 25. No. 2. P. 105-115.
• 9. Coufal, T. & Semeia, M. Research of impact parameters for traffic accident analysis in case of small overlap crash test. Proceedings of 2nd Annual International Conference on Forensic Science - Criminalistics Research (FSCR). Singapore. 2014. P. 1-9.
• 10. Bułka, D. V-SIM4 – Instrukcja obsługi. Krakow: CIBID. 2016. [In Polish: Bulka, D. V-SIM4 –User manual. Cracow: CIBID].
• 11. Aleksandrowicz, P. Verifying the application of the models of crash and collision detection of incompatible vehicles. Proceedings of 23rd International Conference Engineering Mechanics. Svratka. 2017b. P. 82-85.
• 12. Dynamic analysis (D). Available at: https://youtu.be/GeF7ESMGahc.
• 13. Wach, W. & Unarski, J. Determination of vehicle velocities and collision location by means of Monte Carlo simulation method. SAE Technical Paper. 2006a. No. 2006-01-0907.
• 14. Wach, W. & Unarski, J. Uncertainty of calculation results in vehicle collision analysis. Forensic Science International. 2006b. Vol. 167. No. 2-3. P. 181-188.
• 15. Kostek, R. & Aleksandrowicz, P. Simulation of car collision with an impact block. Proceedings of 11th International Congress of Automotive and Transport Engineering. Pitesti. 2017a. DOI: 10.1088/1757-899X/252/1/012008.
• 16. Gidlewski, M. Badania zderzeń bocznych samochodow osobowych w ruchu – ślady powstające na skutek zderzenia istotne dla jego rekonstrukcji. Zeszyty naukowe Instytutu Pojazdów Politechniki Warszawskiej. 2012. Vol. 4. No. 90. P. 43-60. [In Polish: Investigations of passenger car side collisions - impact caused marks vital for the vehicle reconstruction. Scientific Bulletins of the Motor Vehicle Department. 2012. Vol. 4. No. 90. P. 43-60].
• 17. Kostek, R. & Aleksandrowicz, P. Simulation of the right-angle car collision based on identified parameters. Proceedings of 11th International Congress of Automotive and Transport Engineering. Pitesti. 2017b. DOI: 10.1088/1757-899X/252/1/012013.
• 18. Brosdorf, K. & Gortz, M. Gefahren oder gestanden? Proceedings of 23rd EVU. Copenhagen. 2014. P. 1-6. [In: German: Dangers or confessed?].
• 19. Gilsdorf, V. & Wiek, A. Gefahren oder gestanden? Unfallrekonstruktion. VCU Verkehrsunfall und Fahrzeugtechnik. Wiesbaden. 2007. P. 272-277. [In: German: Dangers or confessed?].
• 20. Treter, W. Analiza pokolizyjnych zarysowań na nadwoziach samochodow. Niektore możliwości wykorzystania ich w rekonstrukcji wypadku. Paragraf na Drodze. 2016. Vol. 1. No. 2. P. 38-47. [In Polish: Treter, W. Analysis of post-collision scratches of car bodies. Possibilities of using them for reconstruction of an accident. Paragraph on the Road. 2016. Vol. 1. No. 2. P. 38-47].
• 21. Verification of characteristic damage (C). Available at: https://youtu.be/sCE5yndaH9E.
• 22. Use SDC. Available at: https://youtu.be/UxFFgdcQ7jI.
• 23. SDC Program. Available at: http://wim.utp.edu.pl/dok/wyklady/analiza_sdc.xlsm.
• 24. Agresti, A. Categorical data analysis. Second edition. John Wiley & Sons, Inc. 2002.
• 25. Harrell, Jr. Regression modeling strategies with applications to linear models, logistic and ordinal regression and survival analysis. Cham: Springer International Publishing. 2015.
• 26. Xavier, R. & Turck, N. & Hainard, A. & Tiberti, N. & Lisacek, F. & Sanchez, J. pROC: an opensource package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011.
• 27. Wach, W. PC-Crash program do symulacji wypadków drogowych. Poradnik użytkownika. Krakow: Instytut Ekspertyz Sądowych. 2001. [In Polish: Wach, W. PC-Crash simulation program for road accidents. User's guide. Cracow: Institute of Court Expertise].
• 28. Wach, W. Symulacja wypadków drogowych w programie PC-Crash. Krakow: Instytut Ekspertyz Sądowych. 2014. [In Polish: Wach, W. Simulation of road accidents in the PC-Crash program. Cracow: Institute of Court Expertise].

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).