Crash Accident Prediction using Machine Learning Algorithm

Abstract

Nowadays, Safe driving is one of the greatest concerns of health authorities. The examination of accidental road crash data has been used for finding the road and automobile fault and guiding with the view of enhancing road safety. Having mentioned to the issue, we should predict the effective criteria for Vehicle crash injuries. The term accident is described as an incidence of like events which results in casual injury, damage to public properties or loss in life. Multilayer Support prediction Algorithm (MSPA) in sequence to diminish the toughness of these injuries, the motor vehicle accident has become a problem for the highway department and motor vehicle companies. The ordered probability models were progressed to survey the factors notable contributing to the seriousness of crashes given that an accident take place. The results of the modeling process are helping to find the person emit or not, any drug use, the driver's age, point of the crash marked the average severity of accidents. Overall, eight models were developed and analyzed. The results demonstrate that the data used is helpful to identify the predictors of the crash injury severity.