人工人口生成技术研究综述

Review of Typical Synthesis Techniques for Synthetic Population

随着计算机技术的发展,基于人口数据的的仿真模型被越来越多地应用于传染病建模、战场模拟、交通规划等问题的研究。然而,这些模型都面临着难以获得真实人口数据的问题。解决这个问题的一种重要方法,是使用计算机生成可代替现实人口的人工人口。本文主要介绍3种典型人工人口生成技术的原理、步骤和主要应用,在此基础上对3种技术的优缺点进行分析比较,最后对人工人口生成技术的发展进行了讨论与展望。

With the development of computer technologies, simulation models based on population data have been increasingly used in modeling of infectious diseases, battlefield simulation, transportation planning, etc. However, these models are faced with the problem of obtaining real population data. An important method to solve this problem is using synthetic population instead of real population. Synthetic population has played an important role in the prediction research of recent Ebola outbreak in West Africa. This paper mainly introduced the principle, process, pros and cons of three typical synthesis techniques for synthetic populations. Finally, we discussed the future of these techniques.