Law Enforcement Deployment Algorithms: Historic Sharing Approaches and Result

Law Enforcement must be vigilant in utilizing their limited resources to address both criminal activity and traffic safety. Past research has concentrated on determining optimal routes for law enforcement entities under simplifying assumptions. This dissertation presents a taxonomy of these law enforcement resource deployments and routing methods in order to provide a stronger foundation for algorithms that consider both criminal activity and traffic safety in optimally allocating available resources. This dissertation also introduces a method for comparing of deployment strategies using simulation-based algorithm to cover nodes throughout a county, and it presents the results of several example comparisons.