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Competition and cooperation on a toy Autobahn model

Abstract

Traffic on an one-lane freeway is simulated using a continuous space-discrete time probabilistic cellular automata model.The effet of different individual driving patterns is estimated by monitoring the traffic flow, the velocity and acceleration distributions, the aver-age number of accidents, and the distribution of density-waves (traffic jams) as a function of traffic density. The number of accidents, traffic jams, and the fuel consumption are drastically reduced by driving strategies adapting to local traffic conditions. At high traffic densities this leads, however, to a decrease in the global traffic throughout.

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Migowsky, S., Wanschura, T. & Ruján, P. Competition and cooperation on a toy Autobahn model. Z. Physik B - Condensed Matter 95, 407–414 (1994). https://doi.org/10.1007/BF01343969

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  • DOI: https://doi.org/10.1007/BF01343969

Keywords

  • Neural Network
  • Complex System
  • Nonlinear Dynamics
  • Fuel Consumption
  • Cellular Automaton