Robust improvement schemes for road networks under demand uncertainty

Yafeng Yin, Samer Madanat, Xiao Yun Lu

    Research output: Contribution to journalArticle

    Abstract

    This paper is concerned with development of improvement schemes for road networks under future travel demand uncertainty. Three optimization models, sensitivity-based, scenario-based and min-max, are proposed for determining robust optimal improvement schemes that make system performance insensitive to realizations of uncertain demands or allow the system to perform better against the worst-case demand scenario. Numerical examples and simulation tests are presented to demonstrate and validate the proposed models.

    Original languageEnglish (US)
    Pages (from-to)470-479
    Number of pages10
    JournalEuropean Journal of Operational Research
    Volume198
    Issue number2
    DOIs
    StatePublished - Oct 16 2009

    Fingerprint

    Demand Uncertainty
    Road Network
    Scenarios
    Min-max
    Optimization Model
    System Performance
    Numerical Simulation
    Numerical Examples
    Demonstrate
    Demand uncertainty
    Road network
    Uncertainty
    Model
    Demand
    Optimization model
    Travel demand
    Simulation
    Uncertain demand

    Keywords

    • Network design
    • Robustness and sensitivity analysis
    • Transportation
    • Uncertainty modelling

    ASJC Scopus subject areas

    • Modeling and Simulation
    • Management Science and Operations Research
    • Information Systems and Management

    Cite this

    Robust improvement schemes for road networks under demand uncertainty. / Yin, Yafeng; Madanat, Samer; Lu, Xiao Yun.

    In: European Journal of Operational Research, Vol. 198, No. 2, 16.10.2009, p. 470-479.

    Research output: Contribution to journalArticle

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