Study On Crowd Behaviour Simulation Based On Complex Network Control And Multi-agent System

Crowd simulation technology is widely used in many fields such as safety security,computer animation,virtual reality and so on.But problems still exist in the behavior model of the current crowd behavior simulation and the simplicity of the generation behavior of the crowd.The key technology of human behavior simulation is studied in this paper.From the aspects of complex network control algorithms,crowd behavior modeling,and crowd behavior generation,the behavior modeling technology of crowd is deeply studied,the behavior rules are proposed,the crowd behavior model is established,and the simulation demonstration system is developed based on the complex network control and multi-agent system.The main research contents of this paper are as follows:(1)Firstly,the current situations of the research at home and abroad are summarized and introduced.The researches of the advantages and disadvantages of crowd behaviors and the current situations of the complex network control theory and multi-agent system control algorithm.And we present a simulation study on the behavior of the people based on the complex network control algorithm and multi-agent technology and make the foundation of the presentation of the simulation model of crowd behavior in this paper.(2)Secondly,the complex network control and narrated relevant concepts and the basic thought of the multi-agent system and its applications are introduced in various fields.Then we compared the complex network control with the multi-agent network model and pointed out the relationships between them.And we analyze their advantages and disadvantages in the simulation of crowd behavior and provide the ideas of the combination of the two ideas and its superiority,which lay the theoretical foundation for the combination between complex network control algorithm and multi-agent system.(3)Thirdly,researches on the complex network control algorithm are made and the ideas and the concrete structures of flocking control algorithm and pinning control algorithm are analyzed and elaborated in detail.And the basic control algorithm and position optimization method are studied and the index under the balanced state of the two methods are analyzed.It is proved that the method can reflect the feasibility of the complex network control algorithm and the efficiency of the description of the characteristics of the population.(4)Fourthly,complex network control algorithm to construct the basic behavior model of the crowd and the intelligent body are used.The basic behavior rules and the basic behavior regular patterns are analyzed and the information perception model behavior control model and behavior decision model of the agent are generated.And the behavior control model and made decisions according to the perceived information and the control algorithm are studied so as to produce more complicated behavior and make the model conform to crowd behavior regular patterns.(5)Fifthly,according to the visual simulation modeling software and interactive interface design software,we develop a system based on complex network control algorithm and human simulation demonstration system for multi-agent system by using the generation of crowd behavior model so as to simulate the behavior of crowd in emergencies.This simulation system can generate a more realistic crowd behavior animation,and it verified the feasibility and applicability of the complex network control algorithm and the crowd behavior model.