A Multi-Agent Simulation Method of Urban Land Layout Structure Based on FPGA

The unavoidable birth defects for current simulation method make the final simulation results cannot truly reflect the evolution rules of urban land layout. In this way, a multi-agent simulation method based on FPGA for urban land layout is proposed in this paper. The evolution rule of urban eco-land is explored by combination of cellular automata, dynamic reconfiguration and multi-agent methods. Relying on platform of MATLAB software and dynamic reconfiguration of FPGA logic resources, a regional ANN-CA-Agent model for evolution and prediction model of urban land layout is established. MATLAB, FPGA, and ArcGIS are interoperable by programming, and foreground is displayed by the repast tool. The input layer contains 18 data layers, and the output layer contains 6 data layers. A multi-agent model is established for studying the evolution of urban land layout structures. Finally, in order to make calculation results of the model more in line with actual situation and reflect uncertainty of urban system, random factors are added. Example analysis results show that simulation accuracy of the proposed land layout structure reaches 92.4%, which is a high simulation accuracy. Moreover, conclusion shows that speed of urban expansion in the study area from 2007 to 2029 has gradually slowed down, and urban land-use pattern has changed from epitaxial expansion to intensive land-use.