Road traffic accidents is one of the leading causes of non-disease fatality in the Philippines. Globally and reported by WHO, there are about 1.35 million people annually are counted as the result of the road traffic accidents. In Metro Manila alone, accidents were doubled from 2005 to 2019 based from MMARAS (Metro Manila Accident Recording and Analysis System) report which was annually released by MMDA (Metropolitan Manila Development Authority). This study was organized to determine the risk factors and the nature of accident which is discussed in this paper and identify the causes that leads to fatality, non-fatality of injuries and damage to property classifications of road traffic accidents. The use of ANOVA and Multiple Regression statistical tools were performed to test the hypotheses and use its results as input to formulate and adopt IoT application in reducing the road traffic accidents.