基于仿生学的区域交通自适应网络生长模型

A Biologically Inspired Model for Generating Regional Adaptive Transportation Network

摘要:

交通系统在促进区域协调发展与增强区域竞争力中处于基础与引导地位，因此设计高效率的区域交通网络是促进区域社会经济一体化发展的重要问题。本文以原生质黏液菌觅食机理为理论基础，通过模拟黏液菌管道厚度随流量增大而增加这一生物智能，构建了基于仿生学的区域交通自适应动态网络生长模型。并以长江三角洲16个城市区域节点，模拟了长三角区域交通网络从无到有，最终形成区域自适应运输通道的过程。仿真结果还表明，该模型可以模拟区域交通网络随区域交通活动规模增大而复杂的发展趋势。

Abstract:

Transportation condition is in a foundation in promoting the coordinated development of region and enhancing regional competitiveness. A good design and efficient regional transport network will further improve and promote region economic integration. This paper aims to develop a regional transportation network growth model, which based on the mechanism of physarum connecting multiple food locations via a smart network. The mechanism involves the adaptation of the tubular body: a tube thickens as the flux through it increases. A mathematical model which contains a key parameter corresponding to the extent of the feedback regulation between the thickness of a tube and the flux through it is constructed to describe the tube dynamics. The adaptive transport corridor network growth for 16 cities in Yangtze River Delta was simulated using the model. The results show that the model can simulate the regional transport network growth; the proposed algorithm based on physarum is simple and powerful.