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Monitoring highway assets with remote technology.

File Language:
English


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  • Abstract:
    The purpose of this research was to evaluate the benefits and costs of various remote sensing

    technology options and compare them to the currently used manual data collection alternative.

    The DMG’s evaluation was used to determine how useful and feasible it would be to perform

    inventory collection of the Michigan Department of Transportation’s (MDOT’s) twenty-seven

    high/medium priority assets. DMG performed a pilot project; using several selected routes in

    MDOT’s Southwest Region, to evaluate different remote technologies and to provide

    recommendations for how best to implement the most viable of these technologies as data

    collection tools and data centralization methods.

    Results and recommendations include:

     Remote technologies are capable of gathering highway asset data on most MDOT assets.

    Notable exceptions include assets not readily visible from the roadway (e.g. culverts).

     LiDAR technology, while useful in the appropriate application, produces a level of detail

    beyond that necessary for the assets identified under this study and was not considered a

    cost-effective alternative.

     Mobile imaging technology offers an opportunity to effectively gather highway asset data

    while decreasing worker exposure to traffic, increasing data accuracy and quality, speeding data collection, and reducing overall costs relative to manual data collection methods.

     DMG recommends that MDOT outsource data collection using mobile imaging technology

    to a vendor that can handle a project of this magnitude.

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  • Main Document Checksum:
    urn:sha256:adf44ad1a34af2d6d397dc7177b55316e250c73cfd30c7f3947b7122334a0f8b
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  • File Type:
    Filetype[PDF - 1.99 MB ]
File Language:
English
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