کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
493706 | 722843 | 2009 | 9 صفحه PDF | دانلود رایگان |
A weight-evolving traffic network model, which is based on Barrat–Barthelemy–Vespignani (BBV) model, is developed to study the spreading of traffic congestion in complex networks. In this model, edge weights of networks evolve according to the flow quantity, and then traffic flows can detour congested nodes. This paper simulates and analyzes the process of the emergence and spreading of congestion, which is triggered by adjusting of data generating speed and data sending ability of the network. A recover process of the network from congestion to normal state is also studied, since, in this model, nodes could resume from congestion when the traffic on the network is not busy. Results show that, if the time interval of network’s rush hour last longer than a certain threshold, the congested nodes cannot resume automatically.
Journal: Simulation Modelling Practice and Theory - Volume 17, Issue 10, November 2009, Pages 1566–1574