A Road Accident Prediction Model Based on Machine Learning

Abstract: The steadily growing volume of traffic on the roads, the number of frequent accidents is increasing at an alarming rate. Given the massive volume of traffic incidents and recent fatalities that occur these days, the ability to predict the number of car crashes beyond a specified time period is essential for the infrastructure organizations to make well-informed suggestions. In this situation, breaking out accident frequency might be useful for coming up with preventive interventions. Despite the fact that vulnerability is a hallmark of the majority of mishaps, there is a degree of routine that can be found when noticing mistakes occurring in a single area over an undefined time period and vehicles in light of the evaluations got.

Keywords: Accident expectation, Data mining, Apriorism calculation, Mining restrictions, classification