Cellular Automata For Traffic Flow: Analytical Results

dc.creatorSchadschneider, Andreas
dc.creatorSchreckenberg, Michael
dc.date1995-11-07
dc.date.accessioned2026-07-07T03:08:01Z
dc.date.available2026-07-07T03:08:01Z
dc.descriptionWe use analytical methods to investigate cellular automata for traffic flow. Two different mean-field approaches are presented, which we call site-oriented and car-oriented, respectively. The car-oriented mean-field theory yields the exact fundamental diagram for the model with maximum velocity $\vm =1$ whereas in the site-oriented approach one has to take into account correlations between nearest-neighbour sites. Going beyond mean-field using the so-called $n$-cluster approach our results for $\vm >1$ are in excellent agreement with numerical simulations. We also present a modified cellular automaton which is closely related to a two-dimensional dimer model.
dc.descriptionLatex, uses mprocl.tex macro-package (available from xxx.lanl.gov), 5 pages with 4 ps-figures to appear in the proceedings of the workshop "Traffic and Granular Flow"
dc.identifierhttps://arxiv.org/abs/cond-mat/9511037
dc.identifierhttp://arxiv.org/abs/cond-mat/9511037
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/27393
dc.subjectCondensed Matter
dc.titleCellular Automata For Traffic Flow: Analytical Results
dc.typetext

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