Discrete stochastic models for traffic flow

M. Schreckenberg, A. Schadschneider, K. Nagel, and N. Ito
Phys. Rev. E 51, 2939 – Published 1 April 1995
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Abstract

We investigate a probabilistic cellular automaton model which has been introduced recently. This model describes single-lane traffic flow on a ring and generalizes the asymmetric exclusion process models. We study the equilibrium properties and calculate the so-called fundamental diagrams (flow versus density) for parallel dynamics. This is done numerically by computer simulations of the model and by means of an improved mean-field approximation which takes into account short-range correlations. For cars with a maximum velocity of 1, the simplest nontrivial approximation gives the exact result. For higher velocities, the analytical results, obtained by iterated application of the approximation scheme, are in excellent agreement with the numerical simulations.

  • Received 24 October 1994

DOI:https://doi.org/10.1103/PhysRevE.51.2939

©1995 American Physical Society

Authors & Affiliations

M. Schreckenberg, A. Schadschneider, K. Nagel, and N. Ito

  • Institut für Theoretische Physik, Universität zu Köln, D-50937 Köln, Germany
  • Zentrum für Paralleles Rechnen Universität, Universität zu Köln, D-50923 Köln, Germany
  • CISC Japan Atomic Energy Research Institute, Tokai, Ibaraki 319-11, Japan

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Issue

Vol. 51, Iss. 4 — April 1995

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