An approach for the police districting problem using artificial intelligence

Abstract

Police patrols are usually assigned to a restricted zone where they have to serve and protect the law. This feature not only results in routine tasks, such imposing traffic tickets, but also there are other important tasks, like assisting in accidents or riot control, that need to be covered. An efficient traffic Police patrol location and a schedule assignment across the streets of a city or in a road network ensure that the traffic Police comply with their functions. How to distribute these patrols in the city is a complicated task that needs experience and a deep analysis of traffic and Police data. In this work, we present a method that uses artificial intelligence to analyse these data and propose how to distribute the Police patrols reacting to events that are monitored in real-time for a better service to the citizens.