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Crowd network is a main mode of modern service industry and future economy society. Since it is very hard to be researched in a common way by observing the real word, simulation is a powerful means for this research. Compared with other large scale interactive simulations, simulation for crowd science owes features of dynamic, diversification and massive participants. Fortunately, as the most famous and widely accepted standard, HLA has been widely used in large scale simulations. But when it comes to crowd science, HLA has shortcomings like federation fixed, scale limited and agreement outside the software system. This paper proposes a novel HLA based framework for crowd science simulations. The proposed framework adopts a two level federation based architecture, which separates simulation related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and shared resources pool is used to address the systemic emergence and scale problem. In the end, an implementation architecture demonstrates the feasibility of proposed architecture.

A HLA Based Simulation Framework for Crowd Science