The collected road data must be referenced accurately for it to be useful. Fugro has developed proprietary tools to collect data to the strictest tolerances while simultaneously matching it to existing Linear Referencing Systems (LRS) and Geographic Information Systems (GIS). Fugro’s Vision software allows for the processing of ARAN data to match any LRS or GIS system.
Each road section is uniquely identified using Locators such as district, county, route, direction, lane, or other identifiers important to the client. Usually each road section also has a GIS reference such as start/end GPS coordinate or a road centerline. The data collected in the field is matched using both GIS references and LRS references to the client's existing definitions. This makes year-to-year comparisons accurate and consistent, eliminating the variability due to varying start/end points or collection path variances.
Also, through our experience, we have learned that it is substantially easier to collect more data and trim down the files to match the required testing areas. This part of our process is known as segmenting. During segmenting, we are able to adjust the stations of the results to match known features at the beginning or end of a section. Due to real world conditions, the measured length often differs slightly from the measurements within a pavement management system. The LRS labels associated with the collected data can be stretched or compressed slightly if required to match section lengths exactly. Any adjustments to the pavement length are noted and large differences in length are flagged for review, as they likely indicate updates required to the LRS itself.
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