As part of the Transportation Pooled Fund study, TPF-5(299), Quality Engineering Solutions, Inc. was awarded a contract to develop guidelines that include technical assessment protocols for automated and semi-automated pavement cracking data collection/analysis systems and/or services for use in agency vendor selection contracting documents. Through this process, a methodology was comprised using common statistical processes, similar to those used in the control of asphalt paving mixtures, to provide an assessment of the ability of a vendor to produce cracking distress results that are comparable to the agencies ground reference measurements. The process includes the application of a paired t-test, while also including practical limits on the variability. With careful selection of control sites, an agency can use this process to assess the vendors’
 variability in reporting the size and type of cracking present. For instance, the ability of a vendor to collect fine cracking (1mm or less) may prove to be 30% of the time, whereas a 3mm crack may be reported 95% of the time. This presentation will provide the background of this study and detail an example of how the weighting factors can be used in the evaluation of vendors.                                                         

Data Quality Monitoring for 3D Automated Data Collection Equipment

Welcome to the International Airfield and Highway Pavements Conference of the Transportation & Development Institute (T&DI) of ASCE. This international conference will provide an unrivaled chance to interact and exchange information with worldwide leaders in the fields of highway and airport pavements, as well as airport safety technologies.

This conference will bring together designers, project/construction managers, academics, and contractors from around the world to discuss the state-of-the-art implementation, construction, design, in airfield and highway pavements.

Paper Proceedings: https://doi.org/10.1061/9780784483527 | https://doi.org/10.1061/9780784483503 | https://doi.org/10.1061/9780784483510

Conference DOI: https://doi.org/10.26226/m.63284d15cb3e8e0012755dd4