Fuzzy controller and emotional model for evacuation of virtual crowd behaviors

Abstract

This paper presents the optimal path planning from an initial position to a final position of virtual crowd movement in an emergency evacuation. We have used hybrid architecture based on reinforced fuzzy inference system to control dynamic obstacles and A* algorithm for path finding which are widel y used in artificial intelligence. The proposed contribution is to model the collision avoidance problem using a logic inference system. This fuzzy logic addresses cognitive behavior that introduces the uncertainty and imprecision during decision-making, for this the emotional model of personality (OCEAN) is integrated for BDI agents (beliefs, desires and intentions) and perception of agents in the environment. We will demonstrate the implemented approach by developing application with Java and Netlogo platform and tested with several simulation examples, that show how a crowd can be evacuated without collision and generate macroscopic emergence behavior by microscopic interaction. This application can be used as a framework to simulate real situations of complex systems (stadium evacuation, airports, hospitals).