Predicting Relationship between Traffic Accidents with Related Injuries

Traffic accidents can be considered as a one of the most crucial problem because they causes many deaths, fatalities, injuries and economic losses. To predict traffic accident severity level a model is built in this inquiry to pick a collection of influential characteristics in order to construct a model for assessing the injury severity. Two separate unsupervised algorithms of machine learning are used to analyses traffic accident data. The major intension of this study is to analyse the relationship between three different patterns, namely, different forms of traffic accidents and different injuries types or between different types of the traffic accidents itself or else between different types of the injuries itself.