摘要
文章通过自组织方式而不是上位规划的方式来实现集约高效的城市交通网络设计,基于弗雷·奥托物理现实中找形的实验方法、城市有机体、城市规划、最优路径等相关领域的研究经验,首先从城市与复杂系统的关联,建构了城市复杂系统的理论体系。接下来将找形实验与参数化设计相结合,模拟生物复杂系统的自组织形式,建构最优路径网络模型。
The purpose of this paper is to achieve intensive and efficient urban traffic network design by means of self-organization rather than superordinate planning.Based on Frey Otto’s experimental method of shape finding in physical reality,urban organisms,urban planning,optimal path and other related neighborhood research experience,the theoretical system of urban complex system is constructed from the relationship between city and complex system.Next,shape-finding experiments and parametric design are combined to simulate the selforganizing form of complex biological systems and construct the optimal path network model.
作者
宋靖华
周丽
SONG Jing-hua;ZHOU Li(Wuhan University)
出处
《智能建筑与智慧城市》
2019年第11期85-88,共4页
Intelligent Building & Smart City
关键词
城市交通
交通网络
复杂系统
最优路径
参数化
遗传算法
city traffic
traffic network
complex system
optimal path
parametric
genetic algorithms