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.
CROW - road management system
- 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
With this algorithm, the Province can ensure that the quality of its roads meets national standards according to CROW146a. The algorithm helps identify road damage and the required actions.
Considerations
Although this algorithm can efficiently meet the national standard, much more precise data can nowadays be used to assess the status of roads than the score of 1 to 9. This would also increase efficiency and make predictive maintenance possible. So although higher efficiency is possible, this methodology does meet the national standards.
Human intervention
The output of this algorithm is always interpreted by an employee of the Province, who has these results verified by an inspector. Based on this, and the rest of the data, the algorithm's suggested maintenance is indeed the best choice.
Risk management
The risk attached to this algorithm has to do with the limited data that this algorithm can use. The risk of blindly following the algorithm's advice is mitigated by human intervention.
Legal basis
Roads Act
Operations
Data
The data used by the algorithm are the images of the asphalt taken during inspections, these are then linked to BRT data about the road sections on which they are located.
Technical design
The algorithm links collected recordings of the asphalt to road sections. The algorithm then looks at all unevennesses and gives them a score from 1 to 9. Based on the number of bumps and the scores of these locations in a road section, the algorithm gives a recommendation for maintenance. This recommendation is evaluated and verified by a Province employee to reach a final decision on the maintenance to be carried out.
External provider
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