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On how breaking traffic rules affects vehicle flow

Author

Listed:
  • Krista S. Diaz-Mena

    (Universidad del Pacífico)

  • Liuba Kogan

    (Universidad del Pacífico)

  • Luciano Stucchi

    (Universidad del Pacífico)

Abstract

Traffic flow simulations typically assume that all drivers follow traffic rules, except for minor deviations. However, in many countries, drivers often deviate significantly from these rules, leading to dense and chaotic traffic conditions. Our study examines the impact of violating traffic rules on vehicle flow using a simplified model based on observations of drivers in Lima, Peru. We found that a moderate breaking of some specific rules could enhance traffic flow, surpassing scenarios where everyone adheres strictly to the rules. Nevertheless, either excessive rule-breaking or violations of certain key rules might substantially decrease the overall system speed.

Suggested Citation

  • Krista S. Diaz-Mena & Liuba Kogan & Luciano Stucchi, 2024. "On how breaking traffic rules affects vehicle flow," Journal of Computational Social Science, Springer, vol. 7(2), pages 2195-2215, October.
    • Handle: RePEc:spr:jcsosc:v:7:y:2024:i:2:d:10.1007_s42001-024-00306-2
    DOI: 10.1007/s42001-024-00306-2
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    References listed on IDEAS

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    1. Denos C. Gazis & Robert Herman & Renfrey B. Potts, 1959. "Car-Following Theory of Steady-State Traffic Flow," Operations Research, INFORMS, vol. 7(4), pages 499-505, August.
    2. Simão, Ricardo & Wardil, Lucas, 2021. "Social dilemma in traffic with heterogeneous drivers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
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