GAPatrol: An Evolutionary Multiagent Approach for the Automatic Definition of Hotspots and Patrol Routes
In this work, we present a novel evolutionary multiagent-based simulation tool, named as GAPatrol. Such system is devoted to the specification of effective police patrol route strategies for coping with criminal activities happening in a given artificial urban environment, which, in turn, mimics a real demographic region of interest. The approach underlying GAPatrol allows for the automatic uncovering of hotspots and routes of surveillance, which, in real life, are usually discovered by hand with the help of statistical and/or specialized mapping techniques. The qualitative/quantitative results achieved by GAPatrol in two scenarios of study are discussed here, evidencing the potentialities of the novel approach as a promising decision-support tool for police patrolling.
KeywordsPolice Officer Multiagent System Urban Territory Security Informatics Police Team
Unable to display preview. Download preview PDF.
- 3.Collier, N.: Repast: An extensible framework for agent simulation (2003), Available in http://repast.sourceforge.net
- 4.Machado, A., Ramalho, G.L., Zucker, J.-D., Drogoul, A.: Multi-agent patrolling: An empirical analysis of alternative architectures. In: , pp. 155–170Google Scholar
- 8.Smith, R., Bonacina, C.: Evolutionary computation as a paradigm for engineering emergent behaviour in multi-agent systems. In: Plekhanova, V. (ed.) Intelligent Agent Software Engineering, Idea Group, pp. 118–136 (2002)Google Scholar
- 9.Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (1999)Google Scholar
- 10.Winoto, P.A.: Simulation of the market for offenses in multiagent systems: Is zero crime rates attainable? In: , pp. 181–194Google Scholar