Multimode Dynamics of the Beijing Road Traffic System
The Beijing road traffic system, as a typical huge
urban traffic system, provides a platform for analyzing the complex
characteristics and the evolving mechanisms of urban traffic systems.
Based on dynamic network theory, we construct the dynamic model
of the Beijing road traffic system in which the dynamical properties
are described completely. Furthermore, we come into the conclusion
that urban traffic systems can be viewed as static networks, stochastic
networks and complex networks at different system phases by
analyzing the structural randomness. As well as, we demonstrate the
evolving process of the Beijing road traffic network based on real
traffic data, validate the stochastic characteristics and the scale-free
property of the network at different phases
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[2] A.-L. Barab'asi, E. Ravasz, and T. Vicsek, "Deterministic
scale-free networks," Physica A, vol. 299, pp. 559-564,
2001.
[3] R. Albert and A.-L. Barab'asi, "Statistical mechanics of
complex networks," Reviews of Modern Physics, vol. 74,
pp. 47-97, January 2002.
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Computer Physics Communications, vol. 147, pp.
40-45, 2002.
[5] A.-L. Barab'asi and E. Bonabea, "Scale-free networks,"
Scientific American, vol. 288, pp. 50-59, 2003.
[6] S. Boccalettia, V. Latorab, Y. Morenod, M. Chavezf,
and D.-U. Hwanga, "Complex networks: Structure and
dynamics," Physics Reports, vol. 424, pp. 175-308, 2006.
[7] S. L¨ammer, B. Gehlsen, and D. Helbing, "Scaling laws
in the spatial structure of urban road networks," Physica
A, vol. 363, no. 1, pp. 89-95, 2006.
[8] V. Kalapala, V. Sanwalani, A. Clauset, and C. Moore,
"Scale invariance in road networks," Physics Review E,
vol. 73, p. 026130(6), 2006.
[9] "Transportation research board. highway capacity manual,"
2000.
[10] A. Clauset, C. R. Shalizi, and M. E. J. Newman, "Powerlaw
distributions in empirical data," sIAM Review, to
appear(2009).(arXiv:0706.1062).
[1] A.-L. Barab'asi and R. Albert, "Emergence of scaling in
random networks," Science, vol. 286, pp. 509-512, 1999.
[2] A.-L. Barab'asi, E. Ravasz, and T. Vicsek, "Deterministic
scale-free networks," Physica A, vol. 299, pp. 559-564,
2001.
[3] R. Albert and A.-L. Barab'asi, "Statistical mechanics of
complex networks," Reviews of Modern Physics, vol. 74,
pp. 47-97, January 2002.
[4] M. E. J. Newman, "The structure and function of networks,"
Computer Physics Communications, vol. 147, pp.
40-45, 2002.
[5] A.-L. Barab'asi and E. Bonabea, "Scale-free networks,"
Scientific American, vol. 288, pp. 50-59, 2003.
[6] S. Boccalettia, V. Latorab, Y. Morenod, M. Chavezf,
and D.-U. Hwanga, "Complex networks: Structure and
dynamics," Physics Reports, vol. 424, pp. 175-308, 2006.
[7] S. L¨ammer, B. Gehlsen, and D. Helbing, "Scaling laws
in the spatial structure of urban road networks," Physica
A, vol. 363, no. 1, pp. 89-95, 2006.
[8] V. Kalapala, V. Sanwalani, A. Clauset, and C. Moore,
"Scale invariance in road networks," Physics Review E,
vol. 73, p. 026130(6), 2006.
[9] "Transportation research board. highway capacity manual,"
2000.
[10] A. Clauset, C. R. Shalizi, and M. E. J. Newman, "Powerlaw
distributions in empirical data," sIAM Review, to
appear(2009).(arXiv:0706.1062).
@article{"International Journal of Engineering, Mathematical and Physical Sciences:53622", author = "Zundong Zhang and Limin Jia and Xiaoliang Sun", title = "Multimode Dynamics of the Beijing Road Traffic System", abstract = "The Beijing road traffic system, as a typical huge
urban traffic system, provides a platform for analyzing the complex
characteristics and the evolving mechanisms of urban traffic systems.
Based on dynamic network theory, we construct the dynamic model
of the Beijing road traffic system in which the dynamical properties
are described completely. Furthermore, we come into the conclusion
that urban traffic systems can be viewed as static networks, stochastic
networks and complex networks at different system phases by
analyzing the structural randomness. As well as, we demonstrate the
evolving process of the Beijing road traffic network based on real
traffic data, validate the stochastic characteristics and the scale-free
property of the network at different phases", keywords = "Dynamic Network Models, Structural Randomness, Scale-free Property, Multi-mode character", volume = "4", number = "7", pages = "847-5", }