This research paper investigates the use of big data to analyse road accidents in the Melbourne metropolitan area. Using the Crash dataset and the Random Forest model, the study sought to determine the relationship between various factors and the proportion of accident victims who were maimed or slain. Results demonstrated that factors such as weekdays, months, and weather conditions can influence the severity of accidents. The study provides policymakers and transportation authorities with valuable insights for devising strategies to enhance road safety and reduce accident risk. Additional research can investigate other potential accident severity factors.