USE OF ARTIFICIAL NEURAL NETWORK ANALYSES ON INJURY PREVENTION SYSTEM

The number of accidents on a given highway section during a certain period of time is probabilistic in nature and is a non-negative integer. Despite the fact that accidents are random and unpredictable at micro-level, statistical models can predict reliable estimates of expected accidents by relating aggregates of accidents to various explanatory measures. The research paper deals with injury prediction in traffic accident analysis which apply most commonly statistical predictive model for injury severity. This study aim to analyze categorical variable based on Artificial Neural Network (ANN). The data were acquired from the Government Digital Service (GDS), UK as categorical variables