The forensic reconstruction of road traffic accidents

URQUHART, Simon (2015). The forensic reconstruction of road traffic accidents. Masters, Sheffield Hallam University. [Thesis]

Documents
11330:33689
[thumbnail of Author supplied]
Preview
PDF (Author supplied)
Urquhartmphil.pdf - Accepted Version
Available under License All rights reserved.

Download (8MB) | Preview
11330:447886
[thumbnail of Version of Record]
Preview
PDF (Version of Record)
10701117.pdf - Accepted Version
Available under License All rights reserved.

Download (20MB) | Preview
Abstract
This project aims to approach the issues of collision damage quantification and accident scene reconstruction in a critical manner. A series of accident scenarios that demonstrate modern-day vehicle collisions will be presented. The collision damage will be studied with regard to the scene, environment and the path and speed of each vehicle. The scientific focus will involve how the accuracy of the process in comparison to forensic measurements made at the scene, and how well the reconstruction process describes the features of the incident. The work will show how a software package tailored for traffic accident investigators can study the impact damage resulting from a collision, plus variables such as the speed and trajectory of the vehicles involved, to improve the reconstruction analysis and reduce overall doubt in any judgments. As the use of road networks continues to expand globally, accidents are prevalent in every country where cars and other vehicles are present. By gaining a better understanding of how such accidents occur, the occurrence and cost of these avoidable events may be reduced. The use of accident modelling software is established specifically for this purpose; to provide an unbiased platform for implementing cases from a basic parking bump to a motorway pile-up, enabling such variable effects as weather, road surface and the type of tyres to be accounted for.
More Information
Statistics

Downloads

Downloads per month over past year

View more statistics

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item