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    A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation

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    Author
    Masoud, Sara
    Issue Date
    2019
    Keywords
    Classification
    Dual Toll Pricing
    Hazardous Material Transportation
    Network Design
    Simulation-based Optimization
    Advisor
    Fan, Neng
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Embargo
    Release after 05/20/2021
    Abstract
    An integrated traffic control policy for hazardous materials (hazmat) transportation is devised based on dual toll pricing (DTP) and network design (ND) policies within a two stage simulation-based optimization framework to enhance public safety in a highway. This integrated policy is simultaneously able to restrict hazmat traffic from freeways in densely populated areas via ND and control both regular and hazmat vehicles in tollways via DTP. Moreover, the mixed integer progrmming is employed to find the optimum integrated policy, and linear-relaxation technique based on Kaush-Kahn-Tucker (KKT) conditions is adopted to reduce the search space of the optimization process. In the proposed framework, all suggested policies are evaluated by an agent-based simulation model, which is able to interpret complex interrelationship between road conditions and vehicles. In addition, supervised learning (i.e., random forest algorithm) has been implemented within the agant-based simulation model to predict the risk taking behavior of the drivers considering the drivers' race and gender and transportation network characterstics such as levelness and curviness of the roads. The proposed framework has been demonstrated with a real traffic data of San Antonio, Texas under AnyLogic® platform. The experimental results reveal that the proposed framework is able to efficiently find the optimum integrated policy which effectively reduces the risk of hazmat transportation in a highway.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Statistics
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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