Multi-Variate Analysis for Pavement Assessment
The pavement industry has
changed significantly in the last couple of decades. Digital technology is now capable of
generating continuous streams of multiple metrics (longitudinal and transverse
profile, cracking, texture, structural condition, etc) for pavement
assessment. Continuous data provides
unique challenges for analysis and application. Analyzing multiple metrics
simultaneously further compounds these challenges.
As technology continues to rapidly advance, it seems reasonable to question whether we are applying the
most efficient and/or effective means for analyzing the large volumes of
pavement response data being collected. With an efficient analysis methodology,
continuously collected data has the potential to help determine when and where
pavement deterioration is occurring (before it is apparent from the surface),
provide design support, and aid in construction quality control.
The greatest potential of continuous data collection may come from analyzing the interactions between metrics. With appropriate study and validation, it is
anticipated that the occurrence or detection of predetermined metric thresholds
and/or combination of metrics could be used to refine treatment needs. As an
example., if profile is greater than x, cracking is less than y, and structural
capacity is more than z, then treatment A is warranted). Tools to facilitate
such analysis have yet to be created. It is envisioned that such tools could
aid not only in network level assessment but also in project level assessment.
The objectives of this research are to:
a literature review to establish appropriate thresholds by functional class for multiple pavement
metrics: (a) Cracking; (b) Longitudinal
Profile, (c) Transverse
Profile, (d) Texture, and (e) Structural
standard set of data needs (along with appropriate precision and bias
estimates) for each metric.
or develop methodologies and guidance for effectively aggregating these
statistics for network level analysis. This shall include approaches focused
on: (a) incorporating
leading pavement performance metrics within an agency’s PMS process, (b) identifying combinations of metrics and their thresholds that provide unique performance
distinctions, and (c) demonstrating its value through application using one or more agency PMS.
Future Research Needs.
A significant portion of the existing roadway system in
the US was built over 50 years ago, and it is beginning to show signs of age,
needs of repair, upgrade and/or replacement. There is need for real-time or
quasi real-time in-situ testing of pavement properties to facilitate efficient
assessment and establish treatment needs.
The following are the
potential benefits of this study:
methodologies for applying continuous data from multiple metrics to establish
appropriate treatment selections.
agencies’ pavement management systems to include continuous data from multiple
metrics will enhance the maintenance and rehabilitation decision making
leading performance measures as opposed to lagging performance measures should
result in significant cost savings by selecting effective maintenance and
rehabilitation strategies based on comprehensive evaluations of existing
Continuous monitoring and
cost-effective assessment of infrastructure systems can facilitate risk assessment
at different stages and more efficient planning of maintenance and
rehabilitation activities during the life-cycle of these structures.
These results should be applied by State Agencies and/or their consultants to improve the evaluation, design and construction of pavements.
|Sponsoring Committee:||AKP40, Pavement Structural Testing and Evaluation
|Research Period:||12 - 24 months|
|RNS Developer:||Jerry Daleiden|
|Source Info:||Committee members from AFD80, AFD20 (Pavement Condition Evaluation) and AFD10 (Pavement Management Systems)|
|Index Terms:||Pavements, Data analysis, Pavement performance, Pavement management systems, Data collection, |
|Cosponsoring Committees:||AKP10, Pavement Condition Evaluation; AFD10, Pavement Management Systems|
Maintenance and Preservation