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Traffic cameras may provide a possible new resource for gathering pavement data remotely.
[138] have developed a prototype pavement data collection system that uses multiple laser scanners to identify surface distress, rutting, roughness, macro-texture and road geometry at a 1mm resolution collected at highway speeds which processes in real-time.
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Washington State Department of Transportation WSDOTT) created an integrated database that utilized pavement condition data, traffic data, pavement preservation planning data, and capital project planning data.
An example is presented using pavement condition data.
Referenced pavement condition data for this study is also obtained using Vehicular Intelligent Monitoring System (VIMS)[13].
Finally, findings from laboratory testing were validated using long term pavement performance data.
Pavement cracking data collected in 2016 was compared with characteristics of asphalt cement supplied for paving and recovered from pavement cores at year five.
Pavement condition data pertaining to one of the Districts within a state DOT is used to test the model presented herein.
In this study, a quadcopter-based digital imaging system is introduced for collecting pavement surface data over a distressed area for visual conditions interpretation.
This paper attempts to present the use of copulas and vines in infrastructure modeling, with an example from pavement condition data.
The FWD pavement deflection data are used to determine the in situ mechanical properties (elastic moduli) of the pavement layers through inverse analysis, a process commonly referred to as backcalculation (B/C).
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