Riot simulation in urban areas

Abstract

Simulation of human behavior in various situations is nowadays heavily used in miscellaneous research fields (e.g. emergency exits design, psychology, riot or humanitarian help simulation). The Holy Grail is to identify key elements of human beings that drive our behavior and be able to sufficiently simulate them and replicate in artificial computer environment. This work is focused on riot simulation in city conditions with multiple defense components. Behavior of agents/protesters is driven by PECS (Physical Conditions, Emotional State, Cognitive Capabilities and Social Status) psychological model and movement is adjusted by sophisticated collision avoidance system RVO2 (Reciprocal Collision Avoidance for RealTime Multi-Agent Simulation). Created simulation proposes several scenarios that resemble real demonstrations and can be parameterized for further studies.