PREDICTION OF ROAD ACCIDENT MODELLING FOR INDIAN NATIONAL HIGHWAYS

The objective of this research article is variables of a section of four models that explains the relationship between frequency of accident count and highway safety variables. The Highway traverses mainly through a plain terrain of mostly agricultural areas. The study is for newly constructing Four (Chagalamarri) to 359.9(Kurnool) accidents. The predictive ability using Multiple linear regression model is under two categories: First for the 2 lane sections and second for 4 lane sections separately. The validation tools were applied to examine the ability of models to predict accidents.