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Topological Effects on the Performance of Transportation Networks
作者姓名:赵小梅  高自友
作者单位:School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
摘    要:We investigate the influence of the network topology on the performance (characterized by the total system cost and maximal tratffic volume) of transportation networks, where the weights are not static (constant), but dynamic (a function of the flow on the link). Four classes of networks are used in the simulation, including regular networks, random networks, small-world networks and scale-free networks. The initial simulation results show that topologies play important roles on the performance of transportation networks, and random networks have better performance than other networks. Also, we find that there are distinct difference of the link flow distribution for various networks in both the distribution function form and the span between the minimum and the maximum of the link flow, explaining the difference of the performance among distinct networks. These findings will be useful in network design problems of transportation systems.

关 键 词:拓扑作用  运输网络  技术性能  物理学知识
修稿时间:2006-05-16

Topological Effects on the Performance of Transportation Networks
ZHAO Xiao-Mei,GAO Zi-You.Topological Effects on the Performance of Transportation Networks[J].Chinese Physics Letters,2007,24(1):283-286.
Authors:ZHAO Xiao-Mei  GAO Zi-You
Affiliation:School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
Abstract:We investigate the influence of the network topology on the performance (characterized by the total system cost and maximal traffic volume) of transportation networks, where the weights are not static (constant), but dynamic (a function of the flow on the link). Four classes of networks are used in the simulation, including regular networks, random networks, small-world networks and scale-free networks. The initial simulation results show that topologies play important roles on the performance of transportation networks, and random networks have better performance than other networks. Also, we find that there are distinct difference of the link flow distribution for various networks in both the distribution function form and the span between the minimum and the maximum of the link flow, explaining the difference of the performance among distinct networks. These findings will be useful in network design problems of transportation systems.
Keywords:89  90  +n  05  10  -a  89  40  -a
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