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    A Reinforcement Learning Method for Multiasset Roadway Improvement Scheduling Considering Traffic Impacts 

    Source: Journal of Infrastructure Systems:;2022:;Volume ( 028 ):;issue: 004:;page 04022033
    Author(s): Weiwen Zhou; Elise Miller-Hooks; Kostas G. Papakonstantinou; Shelley Stoffels; Sue McNeil
    Publisher: ASCE
    Abstract: Maintaining roadway pavements and bridge decks is key to providing high levels of service for road users. However, improvement actions incur downtime. These actions are typically scheduled by asset class, yet implemented ...
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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
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