A cubic regression model to measure the impact of accidents on the number of incidence in the State of Kuwait

Abstract

Theories of regression analysis play an important role in safety traffic applications. The purpose of this paper is to develop a methodology capable of fitting the yearly number of incidences based on annual traffic accidents in Kuwait. More specifically, a cubic regression model was specified to fit the annual traffic incidents in Kuwait during the period 2002-2017. Estimation results using the maximum likelihood estimation and the goodness of fit using the sample autocorrelation function clearly demonstrated the appropriateness of the estimated cubic regression model.