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    Digitalizing the Determination of Railway Infrastructure Intervention Programs: A Network Optimization Model

    Source: Journal of Infrastructure Systems:;2022:;Volume ( 028 ):;issue: 002::page 04022012
    Author:
    Marcel Burkhalter
    ,
    Bryan T. Adey
    DOI: 10.1061/(ASCE)IS.1943-555X.0000681
    Publisher: ASCE
    Abstract: One area of railway infrastructure management that can benefit greatly from digitalization is the determination of optimal intervention programs, i.e., when, where, and which type of interventions are to be executed. The potential benefit is considerable because of the large variety of assets required for the infrastructure to function as intended, the interconnectedness of the assets, the extensive number of different types of possible interventions, and the wide range of service measures to consider when deciding between different intervention programs—all of which are difficult, if not impossible, to consider qualitatively. In this paper, a network flow optimization model is presented that determines the optimal intervention program considering different types of assets, interventions and service measures to execute the interventions, the dependencies between interventions, and the relation between interventions and service in the short and long term. The model is developed and used to determine the intervention program that maximizes the net benefit for a 17-km railway line over a 12-year planning period, divided into three four-year blocks. The example demonstrates that the model can be used to determine optimal intervention programs on real-world railway networks, taking into consideration the intervention costs and relevant measures of service, the interrelationships between the different assets, and multiple time periods. It also demonstrates that the model is a powerful management tool for leveraging the digitalization of railway infrastructure.
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      Digitalizing the Determination of Railway Infrastructure Intervention Programs: A Network Optimization Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4281741
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    contributor authorMarcel Burkhalter
    contributor authorBryan T. Adey
    date accessioned2022-05-07T19:51:22Z
    date available2022-05-07T19:51:22Z
    date issued2022-03-24
    identifier other(ASCE)IS.1943-555X.0000681.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4281741
    description abstractOne area of railway infrastructure management that can benefit greatly from digitalization is the determination of optimal intervention programs, i.e., when, where, and which type of interventions are to be executed. The potential benefit is considerable because of the large variety of assets required for the infrastructure to function as intended, the interconnectedness of the assets, the extensive number of different types of possible interventions, and the wide range of service measures to consider when deciding between different intervention programs—all of which are difficult, if not impossible, to consider qualitatively. In this paper, a network flow optimization model is presented that determines the optimal intervention program considering different types of assets, interventions and service measures to execute the interventions, the dependencies between interventions, and the relation between interventions and service in the short and long term. The model is developed and used to determine the intervention program that maximizes the net benefit for a 17-km railway line over a 12-year planning period, divided into three four-year blocks. The example demonstrates that the model can be used to determine optimal intervention programs on real-world railway networks, taking into consideration the intervention costs and relevant measures of service, the interrelationships between the different assets, and multiple time periods. It also demonstrates that the model is a powerful management tool for leveraging the digitalization of railway infrastructure.
    publisherASCE
    titleDigitalizing the Determination of Railway Infrastructure Intervention Programs: A Network Optimization Model
    typeJournal Paper
    journal volume28
    journal issue2
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000681
    journal fristpage04022012
    journal lastpage04022012-15
    page15
    treeJournal of Infrastructure Systems:;2022:;Volume ( 028 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian