Analysis of Road Accidents in India and Prediction of Accident Severity

Abstract

Road accidents are a global menace, and no country can curb it. In this paper, an attempt has been made to study the various factors associated with a road accident and its effect on the cause and severity of the accident by analyzing the road accidents occurring in the nation of India from 2000 onwards. The severity of accidents can be measured in terms of human loss as well as economic loss. Further, the data is visualized on the map of India using Folium python library for the convenience of comparison between various states and better visualization. In this paper, decision tree classifier has been implemented for the prediction of the severity of a road accident. For each road accident, different parameters such as lighting conditions, vehicle type, etc., have been taken into consideration. All of the tasks have been deployed on a webpage with the help of the Flask web application framework. The proposed model achieves a testing accuracy of 79.45%.