Analysis and Prediction of Bangalore Traffic South Road Accidents

Abstract

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cut costs or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Traffic accidents cause enormous losses for a country and plenty of national assets drain away every year due to it. The rapid proliferation of Global Position Service (GPS) devices and mounting number of traffic monitoring systems employed by municipalities have opened the door for advanced traffic control and personalized route planning. But the complexity of traffic accident analysis has brought many difficulties to traffic management and decision-making. Most state of the art traffic management and information systems focus on data analysis and very little has been done in the sense of prediction. This paper provides details about how road accidents and traffic data can be analysed and used to predict the probability of an accident to occur. To start with, the analysis has been done on the Bangalore city traffic considering five traffic stations of the south region of the city – Basavanagudi, Kumaraswamy layout, Banashankari, Jayanagar and Chamarajapet.