The primary purpose of this thesis is to present a comprehensive analysis of occupant kinematics and spinal injuries, during road traffic accidents in Saudi Arabia from the points of view of statistical analysis, modeling of occupant kinematics, and biomechanics. An in-depth database containing information on 512 real world vehicle crashes was constructed. The study identifies the characteristics of the collisions and occupant spinal injuries in Saudi Arabia, and suggests measures to mitigate them. A logistic model has been presented which can be used to provide information about the crashes and spinal injuries. The model may serve as an initial prediction to establish the risk of spinal injury sustained by occupants at road crash, and a paramedic’s protocol, as part of the emergency response, could be revised according to the developed model. State of the art techniques for accident reconstruction have been demonstrated as a tool to investigate the crashes, and the probable cause of crashes, and to make recommendations to prevent crashes and/or mitigate the severity of the accidents and resulting spinal injuries. Computational simulations of crashes provide a tool for understanding the dynamics of crashes and injuries, and are being used worldwide to study dynamics of crashes and efficacy of safety devices. The work conducted here has demonstrated how crashes can be simulated to estimate the injury parameters, and the likelihood of injuries on various parts of the body. While this study presents a detailed multi-dimensional study on road traffic crashes and spinal cord injuries therein, it remains a pilot study for Saudi Arabia. It demonstrates how this type of study can have far reaching consequences and the need to collect such data and carry out this kind of a study on a regular basis at the national level.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:542485 |
| Date | January 2011 |
| Creators | Alshammari, Naif Khalaf |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://etheses.bham.ac.uk//id/eprint/1498/ |
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