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GIE Technologies adheres to the practice of effective and strong project management for our client’s projects. Our policy is to make responsiveness, submission timeliness, and budget management second to none in the engineering community.

Quality Control on Cracking Data

Have you ever been promised reliable results based on the enforcing of a well established Quality Control Plan? Unfortunately, too often the results are not what was expected due to a lack of objectivity in the definition of the procedures but also because the procedures are simply too complex and demanding to be enforced effectively. I am especially referring to the quality control of cracking data that contrary to Roughness or Rutting Data is a lot more difficult to implement. To resolve that issue GIE decided in 2000 to develop quality control procedures exclusively dedicated to the validation of cracking data.

The process developed involves 3 steps. The first step begins during the data collection phase and involves the in-situ recording of a the PASER index (*) on all the pavement sections of a network. Once the automated raw data and other visual keyboard entries completed, the data is then processed to extract the quantities. At this stage the step 2 of the QC plan is ready to be launched. This step consists calculating an Automated PASER Index derived from the quantities recorded by either the Automated or Windshield Rater Systems.

Once in hand, the two Indexes, are compared. The Visual Index provided by the operator and the Automated Index calculated from actual quantities, are compared.

In step 3, any significant errors (PASER Difference > 1) between the subjective and automated PASER Index requires verification. Once this situation occurs cracking results are verified against pavement referenced digital images captured at a preset interval and edited as needed using an image interpretation software. wpeA.jpg (36153 bytes) The tool allows to browse in continuous play mode or sequentially through pavement images collected during the survey. When browsing the images, the interface indicate to the operator the distresses detected by the data collection systems. At this stage the user is allowed through the interface to edit and modify the quantity report and to re-calculate a section condition index. The tool may also be use to verify 100% of all the data collected on a network depending on the cracking protocol used or on the level of precision expected.

Image Intepretation Software Features

Fully integrated Surface Disitress Evaluation capabilities according to several Surface Distress Protocols.

Fully integrated Inventory Element Evaluation capabilities

Results extracted from the data collection systems are tagged through the interface to digital images sampled every 10 meters. By browsing through the images the software displays distress extents, types and severities detected by the systems through distress color coded buttons.

(*) The PASER Index is based on a roadway management system originally developed by Phil Scher, Transportation Planner of the Wisconsin Northwest Regional Planning Commission. The index varies from one (1) to ten (10) and is designed to provide information on asphalt and concrete pavement conditions. In addition, the PASER is also designed to propose a network level a Maintenance & Rehabilitation program. See (Ref.: Project 2001 GIE/City of Novi,Michigan) for more details on the index.

Latest news

See our latest tool! Our New Geographical Visualization Interface. Visualize through the use of a single application an unlimited quantity of infrastructure data elements including pavement and right-of-way imaging. Read more

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