Data-driven dynamic police patrolling: An efficient Monte Carlo tree search

Daniel Tschernutter, Stefan Feuerriegel

Abstract: Highlights•We study dynamic police patrolling in the context of predictive policing•We model microscopic routing decisions•We present an efficient Monte Carlo tree search algorithm•We demonstrate the value of our algorithm using real-world data from Chicago