Road Condition Data Collection for CPATT

Road Condition Data Collection for CPATT
January 12, 2015

Background

multiVIEW was retained to collect road condition data on the CPATT (Centre for Pavement and Transportation Technologies) test road at the University of Waterloo.

Methodology – Road Condition Data Collection

The RoadMap SmartTrailer acquired surface coupled GPR data combined with digital video. The data were synchronized and collected at pre-defined spatial intervals (DMI and GPS provided precise positioning). GPR travel times were converted to depth by estimating velocity from feature responses in the data itself and by correlating with core thickness data.

Findings

Figure 1 shows a 100m section of data.  The section shows asphalt over granular, over subgrade with the asphalt-granular and granular-subgrade boundaries clearly visible.  The data in Figure 1 are a subset of the full 700m CPATT test road.

Informative Image of a GPR scan depicting the road condition data collected, including asphalt thickness, granular fill and granular-subgrade interface.

Figure 2 shows the RoadMap automated horizon analysis generated for the full test road.

Informative Image of road condition, which shows the RoadMap automated horizon analysis generated for the full test road.

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