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Mechanisms that govern how the Price of Anarchy varies with travel demand

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  • O'Hare, Steven J.
  • Connors, Richard D.
  • Watling, David P.

Abstract

Selfish routing, represented by the User-Equilibrium (UE) model, is known to be inefficient when compared to the System Optimum (SO) model. However, there is currently little understanding of how the magnitude of this inefficiency, which can be measured by the Price of Anarchy (PoA), varies across different structures of demand and supply. Such understanding would be useful for both transport policy and network design, as it could help to identify circumstances in which policy interventions that are designed to induce more efficient use of a traffic network, are worth their costs of implementation.

Suggested Citation

  • O'Hare, Steven J. & Connors, Richard D. & Watling, David P., 2016. "Mechanisms that govern how the Price of Anarchy varies with travel demand," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 55-80.
    • Handle: RePEc:eee:transb:v:84:y:2016:i:c:p:55-80
    DOI: 10.1016/j.trb.2015.12.005
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    References listed on IDEAS

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    Cited by:

    1. Cominetti, Roberto & Dose, Valerio & Scarsini, Marco, 2024. "Phase transitions of the price-of-anarchy function in multi-commodity routing games," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    2. Zijun Wu & Rolf H. Möhring & Yanyan Chen & Dachuan Xu, 2021. "Selfishness Need Not Be Bad," Operations Research, INFORMS, vol. 69(2), pages 410-435, March.
    3. Wang, Aihu & Tang, Yuanhua & Mohmand, Yasir Tariq & Xu, Pei, 2022. "Modifying link capacity to avoid Braess Paradox considering elastic demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    4. Mahdi Takalloo & Changhyun Kwon, 2019. "On the Price of Satisficing in Network User Equilibria," Papers 1911.07914, arXiv.org.
    5. Qi, Jin & Sim, Melvyn & Sun, Defeng & Yuan, Xiaoming, 2016. "Preferences for travel time under risk and ambiguity: Implications in path selection and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 264-284.
    6. Zijun Wu & Rolf H. Moehring & Chunying Ren & Dachuan Xu, 2020. "A convergence analysis of the price of anarchy in atomic congestion games," Papers 2007.14769, arXiv.org, revised Dec 2021.
    7. Zhang, Fang & Lu, Jian & Hu, Xiaojian, 2022. "Integrated path controlling and subsidy scheme for mobility and environmental management in automated transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).

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