Statistical modelling of pre-impact velocities in car crashes
| Autor: | Kager, W., Kryven, I., Myerscough, Keith, Opstal, T., Rot, T., Planqué, Robert, Bhulai, Sandjai, Hulshof, J. |
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| Přispěvatelé: | Mathematics, Computational Dynamics |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
collisions |
| Zdroj: | Proceedings of the Seventy-ninth European Study Group Mathematics with Industry, 133-148 STARTPAGE=133;ENDPAGE=148;TITLE=Proceedings of the Seventy-ninth European Study Group Mathematics with Industry Proceedings of the Seventy-ninth European Study Group with Industry : VU University Amsterdam, The Netherlands, 24-28 January, 2011, 133-148 STARTPAGE=133;ENDPAGE=148;TITLE=Proceedings of the Seventy-ninth European Study Group with Industry : VU University Amsterdam, The Netherlands, 24-28 January, 2011 |
| Popis: | The law wants to determine if any party involved in a car crash is guilty. The Dutch court invokes the expertise of the Netherlands Forensic Institute (NFI) to answer this question. We discuss the present method of the NFI to determine probabilities on pre-impact car velocities, given the evidence from the crash scene. A disadvantage of this method is that it requires a prior distribution on the velocities of the cars involved in the crash. We suggest a different approach, that of statistical significance testing, which can be carried out without a prior. We explain this method, and apply it to a toy model. Finally, a sensitivity analysis is performed on a simple two-car collision model. |
| Databáze: | OpenAIRE |
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