Evolution of Traffic Flow with Scale-Free Topology  

作　　者：高自友 李克平 

机构地区：[1]School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044

出　　处：《Chinese Physics Letters》2005年第10期2711-2714,共4页中国物理快报（英文版）

基　　金：Supported by the National Natural Science Foundation of China under Grant No 70471088, and the Science and Technology Foundation of Beijing Jiaotong University under Grant No 2004SM026.

摘　　要：We investigate the emergence of scale-free behaviour in a traffic system by using the NaSch model to simulate the evolution of traffic flow. A kind of evolution networks has been proposed, which is based on the evolution of the traffic flow. The network growth does not take into account preferential attachment, and the attachment of new node is independent of degree. The simulation results demonstrate that the output distribution of links is well described by a scale-free distribution.We investigate the emergence of scale-free behaviour in a traffic system by using the NaSch model to simulate the evolution of traffic flow. A kind of evolution networks has been proposed, which is based on the evolution of the traffic flow. The network growth does not take into account preferential attachment, and the attachment of new node is independent of degree. The simulation results demonstrate that the output distribution of links is well described by a scale-free distribution.

关 键 词：COMPLEX NETWORKS METABOLIC NETWORKS ORGANIZATION MODEL 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]