eprintid: 591
rev_number: 13
eprint_status: archive
userid: 10
dir: disk0/00/00/05/91
datestamp: 2012-10-29 16:32:59
lastmod: 2015-05-29 20:12:50
status_changed: 2012-10-29 16:32:59
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Kager, W
creators_name: Kryven, I
creators_name: Myerscough, K
title: Statistical Modelling of Pre-Impact Velocities in Car Crashes
ispublished: pub
subjects: transport
subjects: machines
subjects: other
studygroups: esgi79
companyname: Netherland’s Forensic Institute
full_text_status: public
abstract: 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 deter-
mine 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.
date: 2011
citation:   Kager, W and Kryven, I and Myerscough, K  (2011) Statistical Modelling of Pre-Impact Velocities in Car Crashes.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/591/1/Amst116.pdf