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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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    Valuing Imperfect Information from Inspection and Sensing in Condition-Based Roadway Pavement Management with Partially Observable Conditions 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 002:;page 04025018-1
    Author(s): Weiwen Zhou; Elise Miller-Hooks; Konstantinos G. Papakonstantinou; Pengsen Hu; Parastoo Kamranfar; David Lattanzi; Shelley Stoffels; Sue McNeil
    Publisher: American Society of Civil Engineers
    Abstract: High serviceability of roadway pavements is crucial to well-functioning roadway networks. With time and use, the condition of these roadway elements degrades and maintenance or rehabilitation (M&R) is required to ensure ...
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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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