[1]危 辉,白 宇.一种基于MAS和GIS平台的城市人口变迁模拟仿真方法[J].智能系统学报,2009,4(01):44-58.
 WEI Hui,BAI Yu.Simulation of urban population growth with a multiagent system and GIS platform[J].CAAI Transactions on Intelligent Systems,2009,4(01):44-58.
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一种基于MAS和GIS平台的城市人口变迁模拟仿真方法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第4卷
期数:
2009年01期
页码:
44-58
栏目:
出版日期:
2009-02-25

文章信息/Info

Title:
Simulation of urban population growth with a multiagent system and GIS platform
文章编号:
1673-4785(2009)01-0044-15
作者:
危 辉12白 宇12
1.复旦大学计算机科学与工程系认知算法模型实验室,上海200433;2.复旦大学波散射与遥感信息教育部重点实验室,上海200433
Author(s):
WEI Hui12BAI Yu12
1.Laboratory of Algorithm for Cognitive Model of Department of Computer Science, Fudan University, Shanghai 200433, China; 2.Key Laboratory of Wave Scattering and Remote Sensing Information (MOE), Fudan University, Shanghai 200433, China
关键词:
复杂系统仿真Multi-agent系统城市化模型
Keywords:
system simulationmulti-agent systemurban modeling
分类号:
TP18
文献标志码:
A
摘要:
中国的城市化进程非常迅速,人口增长和迁移是重要特征之一.以地理信息系统、Multi-agent系统和随机过程为基础,建立一个研究人口增长的仿真模型.首先,利用GIS建立一个数字环境,用效能函数的概念在GIS中表示各类资源的效能.其次,详细阐述了一个Multi-agent 系统设计和实现,重点是用agent代表某个地块及其属性和行为设计.由于发展的不确定性,设计了一个基于随机过程的行为模型,这也和agent宏观水平上的特性一致.最后,以上海市浦东新区为对象,进行了实验模拟和分析.结果表明这个基于Multi-agent系统和GIS的人口变迁仿真模型,具有模块性和可扩展性方面的优势,可应用到其他的城市规划研究中去.
Abstract:
The Chinese economy grew rapidly for more than 20 years, promoting rapid urbanization. New cities emerged and great changes took place in old cities. Population changes complicated city planning, infrastructure construction, housing, and environmental preservation. A model simulating this population transformation was built merging methods from Geographical Information Systems, Multiagent Systems and Stochastic Processes. First an efficiency function was proposed to represent the effectiveness of a resource within the GIS. Second, a multiagent system was designed and implemented, with agents representing ground segments and profits acquired after that. Third, static attributes and dynamic behaviors of agents were discussed. To model the uncertainty of urban development better, a behavioral mode was designed based on a stochastic process, consistent with macrolevel characteristics of the agent. The combined system and its implementation in a computer were then discussed. Finally experiments, using data from Pudong District of Shanghai, were run and analyzed. This urban evolution model can be adapted to more types of research and owes its good performance to modularity and scalability. 

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备注/Memo

备注/Memo:
收稿日期:2007-09-15.
基金项目:国家973计划资助项目(2001CB309401);国家自然科学基金资助项目(60303007).
作者简介:
危 辉,男,1971年生,教授,博士,中国人工智能学会人工智能基础专业委员会委员、中国系统仿真学会生命系统建模仿真专业委员会委员、上海市计算机学会计算机理论与人工智能专委会委员、上海市自动化学会理事、复旦大学波散射和遥感中心教育部重点实验室图像处理与GIS研究室主任.主要研究方向为人工智能研究.主持多项国家自然科学基金、973子课题、国防973专题课题、航天支撑计划课题、中国科学院智能信息处理重点实验室开放基金课题,参加多项973前期专项课题、国家自然科学基金委员会重大研究计划面上项目等.发表学术论文40余篇.
白 宇,男,1980年生,硕士研究生,主要研究方向为人工智能研究.
更新日期/Last Update: 2009-03-24