A Machine Learning Approach to Analyze Road Accidents

Road Safety is a measure issue in all major countries. Increase rate of traffic accidents are the major issue for all countries as it is directly related to the human life. Data Source (World Health Organization 2020) shows that around 120 countries having death rate more than 10% due to road accidents. Even the developed Country like US has 11.10% death rate due to accidents. This study aims to analyze the data for understanding the situation. This study will help to review various factors and statistics related to occur an accident. Accident dataset is download from kaggle where it mentioned the details of data that the data is collected from Feb. 2016 to Dec. 2021, using multiple sources like the US and their state department of traffic cameras and transportation, sensors and law enforcement agencies in road networks. Second task is to extract the useful data from the given dataset as it will make us easy to understand and according to that we can take action or suggest some option to implement the model. The aim of this paper is highlight the root cause.