Predicting Injury Severity of Road Traffic Accidents Using a Hybrid Extreme Gradient Boosting and Deep Neural Network Approach

Abstract

Technical tools such as predictive analytics and computational models are essential to forecast future scenarios of road safety. Predictive models are classified into two main groups, namely statistical (e.g., logistic regression) and computational intelligence (e.g., neural network or NN).