Infrastructure measurements on the Danish network.
Learn more about the ARRB Systems solutions utilised in this case study:
The Danish Road Directorate (DRD) plans, constructs and maintains the Danish national roads. This is inclusive of motorways, dual carriageways, a large part of the regional roads and many of the bridges across the country, totalling 3,800 kilometres.
The thorough survey of national roads in Denmark provides detailed insights into the state roads’ bearing capacity. This critical data is added to the DRD’s Asset Management System, setting up a well-organized evaluation process. This integration ensures an open and impartial assessment of the survey’s findings.
This systematic approach offers a solid and provable foundation for measuring the benefits gained from the data collection. It underscores DRD’s commitment to maintaining road quality and safety and adopting new methods and technologies for data gathering.
This data was evaluated against historical iPAVe data collected across the entire state in 2021 and 2022. Firstly, typical pre-flood levels of change in key pavement condition parameters were calculated using the 2021 and 2022 data sets. Then, the post-flood results were compared with the 2021 and 2022 data to identify potential flood-induced levels of change having determined the significance of the change in treatment demand, i.e. excluding badly deteriorated sections identified in previous years.
Using the above methodology, it was possible to identify around 880 kilometres of the network that would require some form of remedial action due to the negative impact of the flooding. Without the use of the iPAVe, it would not have been possible to collect this data in a relatively short time period or to identify specific high risk road sections and the type of treatment they required.