An Agent-Based Artificial Transportation System Framework for H1N1 Transmission Simulation

Abstract

Transportation system has significant impacts on society for its tight connection with travelling behaviors. Constructing an artificial society to study complex social behaviors is a novel approach which has been widely recognised as a key issue in recent years. In this paper we propose an agent-based ATS framework for H1N1 transmission simulation after reviewing the existing approaches. Mathematic models of H1N1 transmission are established to support and simulate individual’s micro-decision-making mechanisms. After analyzing the diffusion mechanism of H1N1, an ATS framework which contains four modules is built up based on ACP theory. The four components including the initial agent module, environment agent module, individual agent module and interaction agent module are illustrated in detail. The design schemes of the framework are summed up based on system modeling theory followed by the computation flow based on SIR diffusion model. At last, further research directions of ATS are pointed out.