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Efficiency and Vulnerability Analysis for Congested Networks with Random Data

Author

Listed:
  • Baasansuren Jadamba

    (Rochester Institute of Technology)

  • Massimo Pappalardo

    (Università di Pisa)

  • Fabio Raciti

    (Università di Catania)

Abstract

In this note, we combine two theories that have been proposed in the last decade: the theory of vulnerability and efficiency of a congested network, and the theory of stochastic variational inequalities. As a result, we propose a model that describes the performance and vulnerability of a congested network with random traffic demands and where the travel time can be affected by uncertainty. As an application, we investigate in detail the famous Braess’ network.

Suggested Citation

  • Baasansuren Jadamba & Massimo Pappalardo & Fabio Raciti, 2018. "Efficiency and Vulnerability Analysis for Congested Networks with Random Data," Journal of Optimization Theory and Applications, Springer, vol. 177(2), pages 563-583, May.
    • Handle: RePEc:spr:joptap:v:177:y:2018:i:2:d:10.1007_s10957-018-1264-y
    DOI: 10.1007/s10957-018-1264-y
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    References listed on IDEAS

    as
    1. Patrizia Daniele & Sofia Giuffrè, 2015. "Random Variational Inequalities and the Random Traffic Equilibrium Problem," Journal of Optimization Theory and Applications, Springer, vol. 167(1), pages 363-381, October.
    2. Joachim Gwinner & Fabio Raciti, 2012. "Some equilibrium problems under uncertainty and random variational inequalities," Annals of Operations Research, Springer, vol. 200(1), pages 299-319, November.
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    Cited by:

    1. Jiangang Shi & Shiping Wen & Xianbo Zhao & Guangdong Wu, 2019. "Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective," Sustainability, MDPI, vol. 11(5), pages 1-24, March.

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