Identification of Crime and Accident Prone Area

Today road accidents and crime are increasing abruptly and it is one among the main causes for the death of individuals. Mostly, it is found that road accident and crimes happening are more frequent at certain specific locations i.e. black spot. The analysis of those black spot can help in identifying certain road accident factor that creates a road accident to occur frequently therein location. During this project we apply statistics analysis and data processing algorithms on the casualty dataset as an effort to deal with this problem. Association rule mining is one among the favored data processing techniques that identify the causes of accident of road accident. A DM Algorithm takes crime and accident level count as an element to cluster the locations. Then we will use association rule mining to spot these locations using geo fencing. The principles show various factors related to road accidents at different locations.