M. Sasvari et J. Kertesz, CELLULAR-AUTOMATA MODELS OF SINGLE-LANE TRAFFIC, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 56(4), 1997, pp. 4104-4110
The jamming transition in the stochastic cellular automation model (Na
gel-Schreckenberg model [J. Phys. (France) I 2, 2221 (1992)]) of highw
ay traffic is analyzed in detail by studying the relaxation time, a ma
pping to surface growth problems, and the investigation of correlation
functions. Three different classes of behavior can be distinguished d
epending on the speed limit nu(max). For nu(max) = 1 the model is clos
ely related to the Kardar-Parisi-Zhang class of surface growth. For 1
< nu(max) < infinity the relaxation time has a well-defined peak at a
density of cars rho somewhat lower than the position of the maximum in
the fundamental diagram: This density can be identified with the jamm
ing point. At the jamming point the properties of the correlations als
o change significantly. In the nu(max) = infinity limit the model unde
rgoes a first-order transition at rho --> 0. It seems that in the rele
vant cases 1 < nu(max) < infinity the jamming transition is under the
influence of a second-order phase transition in the deterministic mode
l and a first-order transition for nu(max) = infinity.