Improving road safety in India using data mining techniques

Abstract

Road accidents are very common in India. World Health Organization (WHO) has revealed that India the worst road traffic accident rate worldwide. According to the report, poor driving pattern, drunk driving, badly maintained roads and vehicles are the main triggering factors to road casualties. Statistics shows that one serious road accident in the country occurs every minute. The national capital, Delhi is among the deadliest. To achieve aim of reducing road accidents, novel and robust prevention strategies for improved road severity have to be developed. In this work, we propose use of data mining frame work to analyze traffic on National Highways of India. Using real data set of National Highway of India, we will mine important patterns for accidental data on National Highways of India and, identify key causes to road casualties. The discovered knowledge can be used by Ministry of road transport & highways of India to take effective decisions to reduce road severity.