The collaborative and cross-disciplinary working approach meant the project team was able to design a data collection process that maximized efficiency without sacrificing requirements to meet the project goals. Areas for data capture were carefully specified, ensuring the quantity of data required for upload was streamlined while keeping a tracked and mapped record of progress. The data library was moved from a hosted WAN to a cloud solution, and field capture was streamlined to limit reliance on at times unreliable mobile data signals. A schema was also provided to aid quicker capture of future data, ensuring the project continues to deliver value.
This understanding of both the needs of the survey and the most efficient uses of data and technology were key to project success.
At the end of each day, data was collated using a bespoke algorithm, which automatically extracted the location information from the photos and sorted the structure of the data. The data points were snapped to the nearest road line, providing a comprehensive mapped index which was then delivered to WSP’s review team online each week. They determined that the data coming out of the system was over 97% accurate, requiring minimal adjustments, which meant they could provide it back to WSCC quickly and meet the ambitious time scales.