Density of Route Frequency for Enforcement

Abstract

Recently, big data has become one of the hot topics that lead the organization, either public or private, to generate more efficient management solutions. Not for business purposes only, the big data has the potential to create significant value to assist law enforcement or to improve the policy for the decision-making process. The features of big data that have the ability to handle massive data volume and variety at high velocity, can be used in fields of policing to improve organization operation. The data are valuable for Geographic Information System (GIS) based decision-making. With intelligent GIS, information can be updated across the organization immediately. Geospatial Modelling (GM) is to help in the analysis solution in order to improve the decision-making process in the daily operation of the police. The GM technique is designed to discover patterns data involving the location and other spatial related information such as density. The patterns data consist of valuable traffic density will be used to simulate routes planning in the patrol car. This paper presents the approach on how to generate valuable traffic density to accurately dispatch the patrol cars in a geographic environment as well as to reduce criminal cases.