Monte Carlo Simulation Methods Applied to Accident Reconstruction and Avoidance Analysis

When reconstructing vehicle accidents it is necessary in the course of the analysis to account for the uncertainty in the values of the key parameters such as tyre to road adhesion, the direction of vehicle movement both pre- and post-impact etc. In this paper Monte Carlo simulation methods are applied to accident reconstruction and accident avoidance analysis. Also the benefits which can be obtained from redundancy of the relationships describing the particular accident are examined. The results which can be obtained are demonstrated by a number of case studies.