Analyzing Accident Prone Regions by Clustering

Abstract

Traffic accidents and injuries related to them have unfortunately become a daily incident for the people of Bangladesh and this is particularly true for people living in Dhaka City. This paper aims to identify the most hazardous regions for such incidents within the Dhaka Metropolitan Region as well as assess their influences. This research effort collects accident related data from the Accident Research Institute (ARI) at Bangladesh University of Engineering and Technology (BUET), Dhaka. This paper utilizes the k-means clustering and expectation maximization method to cluster related incidents together.