Traffic Flow Modeling on Road Networks Using Cellular Automata Theory

  • Authors

    • A Chechina
    • N Churbanova
    • M Trapeznikova
    • A Ermakov
    • M German
    2018-05-16
    https://doi.org/10.14419/ijet.v7i2.28.12930
  • Cellular automata, traffic flow modeling.
  • The paper deals with mathematical modeling of traffic flows on urban road networks. The original model is based on the cellular automata theory and presents a generalization of Nagel-Schreckenberg model to a multilane case.

    Numerical realization of the model is represented in a form of the program package that consists of two modules: User Interface and Visualization module (for setting initial conditions and modelling parameters and visual representation of calculations) and Computation module (for calculations).

    Computations are carried out for each element of the road (i.e. T or X type intersection, straight road fragment) separately and in parallel, that allows performing calculations on various complex road networks. Different kinds of average characteristics (e.g. the capacity of the crossroad) can be also obtained using the program package.

     

  • References

    1. [1] K. Nagel, M. Schreckenberg, “A Cellular Automation Model for Freeway Trafficâ€, J. Phys. I France, Vol.2 (1992) , p. 2221

      [2] A. Chechina, N. Churbanova, M. Trapeznikova, “Different Approaches to the Multilane Traffic Simulationâ€, Traffic and Granular Flow ‘ 13, M. Chraibi et al. (Eds.), Springer, (2015) pp. 361-368

      [3] S. Maerivoet, B. De Moor, “Cellular automata models of road trafficâ€, Physics Reports Vol .419 (2005) pp. 1-64

      [4] B. Kerner, Breakdown in Traffic Networks. Fundamentals of Transportation Science, Springer, Germany (2017) 652 p.

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  • How to Cite

    Chechina, A., Churbanova, N., Trapeznikova, M., Ermakov, A., & German, M. (2018). Traffic Flow Modeling on Road Networks Using Cellular Automata Theory. International Journal of Engineering & Technology, 7(2.28), 225-227. https://doi.org/10.14419/ijet.v7i2.28.12930