United States Department of Transportation
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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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