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Traffic Games: Modeling Freeway Traffic with Game Theory

Author

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  • Luis E Cortés-Berrueco
  • Carlos Gershenson
  • Christopher R Stephens

Abstract

We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions.

Suggested Citation

  • Luis E Cortés-Berrueco & Carlos Gershenson & Christopher R Stephens, 2016. "Traffic Games: Modeling Freeway Traffic with Game Theory," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-34, November.
    • Handle: RePEc:plo:pone00:0165381
    DOI: 10.1371/journal.pone.0165381
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    Cited by:

    1. Sueyoshi, Fumi & Utsumi, Shinobu & Tanimoto, Jun, 2022. "Underlying social dilemmas in mixed traffic flow with lane changes," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    2. Ji Ang & David Levinson, 2020. "A Review of Game Theory Models of Lane Changing," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    3. Yao, Zhouzhou & Wu, Xianyu & Yang, Yang & Li, Ning, 2024. "A digital decision approach for indirect-reciprocity based cooperative lane-changing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    4. Krzysztof J. Szajowski & Kinga Włodarczyk, 2020. "Drivers’ Skills and Behavior vs. Traffic at Intersections," Mathematics, MDPI, vol. 8(3), pages 1-20, March.
    5. Wang, Wei & Ren, Jing & Alrashoud, Mubarak & Xia, Feng & Mao, Mengyi & Tolba, Amr, 2020. "Early-stage reciprocity in sustainable scientific collaboration," Journal of Informetrics, Elsevier, vol. 14(3).

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