Scaling laws of the network traffic flow
Zi-You Gao,
Ke-Ping Li,
Xin-Gang Li,
Hai-Jun Huang (),
Bao-Hua Mao and
Jian-Feng Zheng
Physica A: Statistical Mechanics and its Applications, 2007, vol. 380, issue C, 577-584
Abstract:
In this work, a type of the evolution network is constructed in the evolution process of traffic flow. We study the influence of the traffic dynamics on the structural properties of the evolution network, and measure the probability distributions and scaling properties of the network. The traffic dynamics is simulated by using the city traffic model [i.e., the modified ChSch model, see E. Brockfeld, R. Barlovic, A. Schadschneider, M. Schreckenberg, Phys. Rev. E 64 (2001) 056132]. The topological structure of the evolution network is strongly related to the traffic dynamics and various distributions of the connections can be found under different traffic conditions.
Keywords: Complex network; Cellular automata; Traffic flow (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437107001719
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:380:y:2007:i:c:p:577-584
DOI: 10.1016/j.physa.2007.02.036
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().