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Phase coexistence induced by a defensive reaction in a cellular automaton traffic flow model

Author

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  • Neto, J.P.L.
  • Lyra, M.L.
  • da Silva, C.R.

Abstract

Traffic flow modeling is an elusive example for the emergence of complexity in dynamical systems of interacting objects. In this work, we introduce an extension of the Nagel–Schreckenberg (NaSch) model of vehicle traffic flow that takes into account a defensive driver’s reaction. Such a mechanism acts as an additional nearest-neighbor coupling. The defensive reaction dynamical rule consists in reducing the driver’s velocity in response to deceleration of the vehicle immediately in front of it whenever the distance is smaller than a security minimum. This new mechanism, when associated with the random deceleration rule due to fluctuations, considerably reduces the mean velocity by adjusting the distance between the vehicles. It also produces the emergence of bottlenecks along the road on which the velocity is much lower than the road mean velocity. Besides the two standard phases of the NaSch model corresponding to the free flow and jammed flow, the present model also exhibits an intermediate phase on which these two flow regimes coexist, as it indeed occurs in real traffics. These findings are consistent with empirical results as well as with the general three-phase traffic theory.

Suggested Citation

  • Neto, J.P.L. & Lyra, M.L. & da Silva, C.R., 2011. "Phase coexistence induced by a defensive reaction in a cellular automaton traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3558-3565.
  • Handle: RePEc:eee:phsmap:v:390:y:2011:i:20:p:3558-3565
    DOI: 10.1016/j.physa.2011.04.030
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    Cited by:

    1. Tomoko Sakiyama & Ikuo Arizono, 2019. "Reversible Transitions in a Cellular Automata-Based Traffic Model with Driver Memory," Complexity, Hindawi, vol. 2019, pages 1-8, December.

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