Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Road inspection - Kiwa KOAC
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The purpose of this algorithm is to make the maintenance of provincial roads more efficient. By applying this algorithm, the status of roads can be better monitored than by visual inspection. Also, the progression of damage will be better mapped, making predictive maintenance possible. This will result in well-maintained roads and fewer disruptive inspections.
Considerations
The choice to apply the algorithm was made mainly on the basis of the developer's explanation of the algorithm, its use by other government agencies and the efficiency benefits explained. It was weighed up whether the market position gained by Kiwa KOAC, by being the only provider of these systems, outweighed the benefits of using this algorithm, with more importance given to the latter benefit in this case.
Human intervention
The output of this algorithm is interpreted by the manager, who asks an inspector to verify the damage images. Only after this is done is a decision made on the next steps regarding actual maintenance.
Risk management
The risks in using this algorithm relate to the accuracy of the algorithm and therefore the size of the data. Because so much data is extracted which all needs to be interpreted and verified, this can be counterproductive and lead to capacity problems. This risk is mitigated by physical verification by the inspector.
Legal basis
Roads Act/CROW146a
Operations
Data
The data used by the algorithm are the scans made. These scans are compared by the algorithm with (test) data from Rijkswaterstaat.
Technical design
Kiwa KOAC's trucks scan provincial roads every other year. Based on this reading (using LiDAR or laser technology), the algorithm gives output with damage images and other unevenness in the road sections.
External provider
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