Cause Analysis of Traffic Accidents Based on Degrees of Attribute Importance of Rough Set

The causes of traffic accidents are complex and uncertain, which is difficult to be represented by one or two factors. In order to extract core factors which affect traffic accident and quantify the influences of factors, this paper introduced uncertainty analysis method, rough set theory. Firstly, the information decision table of rough set was formulated based on historical accident data, then the simplified algorithms of rough set model was used to calculate degrees of attributes importance of different factors to their corresponding accident morphologies. Finally, we get the influence degrees of each factor on corresponding traffic accidents morphologies to provide basis of selecting scientific and reasonable indexes for the prediction model of road traffic accident morphologies.