Crowd Simulation for Dynamic Environments based on Information Spreading and Agents’ Personal Interests

AbstractIn this work a novel crowd simulation framework that incorporates information of the dynamic environment is introduced. It supports knowledge spreading and allows the simulated agents to behave according to their personal needs that are affected by the surroundings. Each agent has their own personal interests and needs, which affects its goals and interactions with the environment. Genetic algorithms are used to simulate the dynamic behaviour of the environment and the knowledge spreading. As a result more accurate and realistic simulations are obtained improving a wide range of industrial and research applications that require accurate crowd simulation and modelling