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The Pavement Profile Scanner collects high-resolution transverse and
longitudinal profile scans. The information below describes a range
of potential applications for these high-resolution scans.
Transverse Profile
Transverse profile indices convey the condition of a road at a specific
station and the road characteristics that can be measured from a transverse
profile increase with the number of points in the profile.
Road conditions, such as the bump in between dual tire
ruts or the width of a PCC fault, manifest themselves on the scale
of 1" and smaller. These conditions, which require a high-resolution
profile, are detectable down to 1/4" with the PPS.
Rutting
Several transverse profile classifications exist for analyzing rutting,
a condition which affects aging AC roads to varying degrees. Each index
indicates a different feature of the transverse profile, and many
correspond to road wear and decay. A goal of continuous
research in this area has been to correlate these indicators to
maintenance and replacement schedules. For example, Superpave
relies on mapping lab-measurable characteristics, like binder
viscosity and aggregate distribution, to rutting performance
in the field. The following list describes several well-supported
rutting indices:
- 3.2 m & 1.8 m Bars - Determines vertical distance
from average peak height to rut depth
- Cut & Fill area - Estimates the amount of material
displaced by the ruts
- Radius of Curvature - Indicates the least flat portion
of the transverse profile (lowest radius of curvature)
Intersections usually exhibit advanced states of rutting compared
to other sections of roadway. This is due to the viscous behavior
of AC under time-constant loading (e.g. vehicles stopped).
Faulting
Construction workers create faults in PCC roads to combat frost heaving
and accommodate material expansion. As the roads age, these faults may
widen and become increasingly discontinuous, interupting the comfort
and safety of travelers. The detection of fault sizes and locations
requires a high profile resolution.
Crossfall
Precipitation can
gather in severe ruts on well-crowned roads. This water imposes a risk
to travelers, and allows water to seep into the roadbed, rather than
flowing off. Certain inertial systems continuously report the 3-axis
orientation of
a vehicle as it drives with great accuracy (<10 arcseconds @ 200 Hz
after post-processing). When incorporated with a detailed transverse
profile, the crossfall of a road can be calculated.
Another use for crossfall arises in the area of driver comfort. Most
roads have constant-radius turns, and an inward crossfall on turns is
a common road feature. With a given speed limit and turning radius,
there is a crossfall slope at which the driver doesn't have to turn the
wheel to round the curve. It is useful to know how close an
in-service road is to this comfortable condition.
Shoulder Drop-Off
Transverse profiles collected with the Pavement Profile Scanner provide
data suitable for assessment of the condition of the edge-of-pavement
(EOP) or shoulder. See our test case for
further information.
Longitudinal Profile
Accurate profile data in the direction of travel enables
engineers to apply models that simulate the behavior
of vehicles while driving on the road. The
performance of a vehicle starts with what happens
under its tires while driving, and therefore the wheel-path
profile becomes the most relevant information when
simulating vehicle behavior. The PPS offers a highly accurate
and meaningful longitudinal profile.
IRI
Indicators like International Ride Index and Ride Number
(IRI and RN) attempt to quantify the ride quality of roads.
The fundamental principle of any ride index lies in
correlating the results with actual driver experience.
These indicators should reflect how a driver feels while
driving. Bumpy roads yield a high IRI, while smooth roads yield
a low IRI. Reliability of data can be confirmed using multiple passes
over the same stretch of road. The PPS includes
the collection of longitudinal profile data using rod and level
in order to confirm the reliability of high-speed data
collection devices. |