Interface and Transport Dynamics pp 361-389 | Cite as
Probabilistic Description of Nucleation in Vapours and on Roads
Abstract
The aggregation of particles out of an initially homogeneous situation is well known in physics. Depending on the system under consideration and its control parameters the cluster formation in a supersaturated (metastable or unstable) situation has been observed in nucleation physics as well as in other branches. We investigate the well—known example of condensation (formation of liquid droplets) in an undercooled vapour to conclude that the formation of bound states as a phase transition is related to transportation science. We present a comparison of nucleation in an isothermal—isochoric container with traffic congestion on a circular one—lane freeway. The analysis is based, in both cases, on the probabilistic description by stochastic master equations. The construction of physically motivated transition probabilities plays the central role in our analysis and comparison.
Keywords
Cluster Size Transition Rate Traffic Flow Master Equation Deterministic EquationPreview
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References
- 1.Bando, M., Hasebe, K., Nakayama, A., Shibata, A., Sugiyama, Y.: Structure stability of congestion in traffic dynamics, J.pan J. Indust. and Appl. Math. 11 (1994) 203MathSciNetMATHCrossRefGoogle Scholar
- 2.Chowdhury, D., Santen, L.,Schadschneider, A.: Statistical physics of vehicular traffic and some related systems, Phys. Rep. 329 (200) 199MathSciNetCrossRefGoogle Scholar
- 3.Gardiner, C. W.: Handbook of stochastic methods (Springer, Berlin, 1983). (1st ed.), 1985, 1990Google Scholar
- 4.Haberland H. (Ed.): Clusters of atoms and molecules ( Springer, Berlin, 1994 ).Google Scholar
- 5.Haken, H.: Synergetics. An introduction (Springer, Berlin, 1978) (1st ed.), 1983MATHCrossRefGoogle Scholar
- 6.Heermann, D. W.: Computersimulation methods in theoretical physics ( Springer, Berlin, 1990 ).CrossRefGoogle Scholar
- 7.Helbing, D.: Verkehrsdynamik. Neue physikalische Modellierungskonzepte ( Springer, Berlin, 1997 ).MATHCrossRefGoogle Scholar
- 8.Honerkamp, J.: Stochastische Dynamische Systeme, VCH Verlagsgesellschaft, Weinheim, 1990; Stochastic Dynamical Systems, VCH, New York, 1994Google Scholar
- 9.Jellinek, J. (Ed.): Theory of atomic and molecular clusters ( Springer, Berlin, 1999 ).Google Scholar
- 10.van Kampen, N. G.: Stochastic processes in physics and chemistry ( North-Holland, Amsterdam, 1981, 1992 ).MATHGoogle Scholar
- 11.Kaupuzs, J., Mahnke, R.: A stochastic multi-cluster model of freeway traffic, Europ. Phys. J. B 14 (2000) 793CrossRefGoogle Scholar
- 12.Kaupuzs, J., Mahnke, R.: Nucleation on roads, In: Nucleation and Atmospheric Aerosols 2000 (Eds.: B. Hale and M. Kulmala), AIP Conf. Proceed., Vol. 535, p. 221Google Scholar
- 13.Kerner, B. S.: Phase transitions in traffic flow, In: Traffic and Granular Flow ‘89 (Eds.: Helbing, D., Hermann, H. J., Schreckenberg, M., Wolf, D. E.), ( Springer, Berlin, 2000 ) p. 253CrossRefGoogle Scholar
- 14.Mahnke, R.: Aggregation phenomena to a single cluster regime under different boundary conditions, Z. Phys. Chem. 204 (1998) 85Google Scholar
- 15.Mahnke, R.: Nucleation in physical and non-physical systems, In: Nucleation and atmospheric Aerosols 2000 (Eds.: B. Hale and M. Kulmala), AIP Conf. Proceed., Vol. 535, p. 229Google Scholar
- 16.Mahnke, R., Kaupuzs, J.: Stochastic theory of freeway traffic, Phys. Rev. E 59 (1999) 117Google Scholar
- 17.Mahnke, R., Kaupuzs, J.: Probabilistic description of traffic flow, In: Special issue on traffic flow theory (Ed.: Zhang, H. M.), Networks and Spatial Economics, Vol. 1, No. 1/2, March 2001, p. 103Google Scholar
- 18.Mahnke, R., Pieret, N.: Stochastic master-equation approach to aggregation in freeway traffic, Phys. Rev. E 56 (1997) 2666CrossRefGoogle Scholar
- 19.Miller, M. A., Doye, J. P. K., Wales, D. J.: Structural relaxation in atomic clusters: Master equation dynamics, Phys. Rev. E 60 (1999) 3701Google Scholar
- 20.Montroll, E. W., Badger, W. W.: Introduction to quantitative aspects of social phenomena, Gordon and Breach Sci. Publ., New York, 1974Google Scholar
- 21.Münster, A.: Statistical thermodynamics Vol. I, ( Springer, Berlin, 1969 ).MATHGoogle Scholar
- 22.Newman, M. E. J., Barkema, G. T.: Monte Carlo methods in statistical physics ( Clarendon Press, Oxford, 1999 ).MATHGoogle Scholar
- 23.Paul, W., Baschnagel, J.: Stochastic processes From Physics to Finance, ( Springer, Berlin, 1999 ).MATHGoogle Scholar
- 24.Prigogine, I., Herman, R.: Kinematic theory of vehicular traffic ( Elsevier, New York, 1971 ).Google Scholar
- 25.Reiss, H., Huang, C.: Statistical thermodynamic formalism in the solution of information theory problems, J. Stat. Phys. 3 (1971) 191MathSciNetCrossRefGoogle Scholar
- 26.Reiss, H., Hammerich, A. D., Montroll, E. W.: Thermodynamic treatment of nonphysical systems: Formalism and an example (single—lane traffic), J. Stat. Phys. 42 (1986) 647MathSciNetCrossRefGoogle Scholar
- 27.Schmelzer, J., Jr., Lembke, U., Kranold, R.: Nucleation and growth of AgC1 clusters in a sodium borate glass: Numerical analysis and SAXS results, J. Chem. Phys. 113 (2000) 1268CrossRefGoogle Scholar
- 28.Schmelzer, J., Röpke, G., Mahnke, R.: Aggregation phenomena in complex systems ( Wiley—VCH, Weinheim, 1999 ).MATHGoogle Scholar
- 29.Wu, D. T.: Nucleation theory, In: Solid State Physics, Vol. 50, (Eds.: Ehrenreich, H., Spaepen, F. ), ( Academic Press, San Diego, 1997 ) p. 37Google Scholar