Artificial Urban Planning: Application of MAS in Urban Planning Education

被引：2
作者：
Kou Xiaodong [1 ]
Yang Lin [2 ]
Cai Lin [1 ]
机构：
[1] Northwest Polytech Univ, Automat Coll, Xian 710072, Peoples R China
[2] Air Force Engn Univ, Engn Inst, Xian 710038, Peoples R China
来源：
PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2 | 2008年
关键词：
D O I：
10.1109/ISCID.2008.32
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Urban problems caused by fast urbanization become more and more complex, bringing new challenges to urban planning and its education. Therefor, proposition of artificial cities is put forward in this paper, based on which artificial urban planning research can be carried out. By adopting multi-agent system (MAS) method and according to features of Swarm simulation, the spatial evolution system model of an artificial city is built to study general process of urbanization, focusing on physical space, family agents, enterprise agents and interactions between (among) them in the city. Simulation of the model not only reproduces the process of a monocentric city's formation, but discovers that in a double-centered city's construction, administrative interference should be combined with the city's self-organizing evolution at a proper time. Simulation experiments and relative analysis show that the model is reasonable, which indicates artificial urban planning research is feasible and will offer effective support to urban planning education.
引用
收藏
页码：349 / +
页数：2
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