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.
Mulder Module on Enforcing Kerbside Parking
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The purpose of the kerbside parking module is to detect potential kerbside parking offences and to support enforcement in this regard. Residents may come into contact with this system because surveillance vehicles record vehicles in public spaces. If the system detects a possible offence, a special investigating officer assesses the footage before any further enforcement action is taken.
Considerations
The use of this module can help reduce parking-related nuisance, improve traffic flow and ensure more efficient deployment of special investigating officers. At the same time, there are risks, such as incorrect alerts due to technical inaccuracies and privacy implications arising from image processing in public spaces. Its use is considered justified because a special investigating officer always assesses the potential offence before any further enforcement action is taken.
Human intervention
When the system is used, it merely generates a report or file which is submitted to an authorised officer for assessment. The authorised officer then independently assesses whether an offence has been committed; they may also reject the report, and no penalty is ever imposed without human verification.
Risk management
We process vehicle registration number and location data in a way that minimises privacy risks. Although number plates are visible on the street and GPS locations do not reveal much on their own, we recognise that the combination of this data can be traceable. The link between number plate and location is established only once, and we retain this data only for as long as required by law. All data is transmitted in encrypted form in accordance with ISO standards, and access is granted only to staff who genuinely need it. This access is regularly monitored and all actions are logged.We periodically review our processes so that we can identify new risks in good time and ensure our measures remain in line with legislation and technological developments. In this way, we minimise risks and ensure that all data is processed carefully and securely.
Legal basis
The use of cameras on, in or attached to scanning vehicles is carried out by special investigating officers for the purpose of enforcing offence code R 315 b, as set out in the Annex referred to in Article 2(1) of the Act on the Administrative Enforcement of Traffic Regulations, namely failure to comply with the provisions of Article 10(1) of the 1990 Regulations on Traffic Rules and Traffic Signs (as the driver of a motor vehicle, failing to use the carriageway by stopping on the pavement, footpath, cycle path, cycle/moped path or bridleway).
Links to legal bases
Impact assessment
Operations
Data
GPS coordinates (High-Precision GPS, 90% accurate to within 1 metre), registration number, car model, rough image data (photo)
Technical design
ARS has an internal algorithm that blurs the overall image except for the car and its number plate (this algorithm is not part of kerb detection). Furthermore, the car’s GPS position is compared with the map of parking bays that has been provided. If there is a deviation of more than 1 metre towards the kerb, the parked car is classified as a kerb-parker. The comparison is, in essence, straightforward: GPS coordinates may be within the ‘correct’ zone (parking bay), or not (pavement or road). The kerb and the road are coded differently internally, so kerb detection is not confused with a car that is positioned too far onto the road.
External provider
Similar algorithm descriptions
- Predicting busy car parks is a European collaborative project aimed at developing a Mobility Analytics as a Service (MAaaS) toolkit. The aim is to efficiently manage, analyse and visualise large amounts of mobility data. Specifically, it involves predicting parking garage fill rates.Last change on 8th of January 2025, at 11:24 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- The local authority checks vehicles’ parking permits using mobile scanning vehicles. The scanning vehicle drives through the regulated area (the city centre and the surrounding area) and continuously takes photographs of the number plates of vehicles parked in parking bays; it then checks whether a valid parking permit is present. Following a physical inspection by parking enforcement officers, a decision is made as to whether a fine will be issued.Last change on 25th of June 2026, at 12:29 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA, AIIA
- Status
- In use
- The automated granting of a basic parking permit if all conditions are met. An automatic decision is made via a decision tree. Appeals are always handled through an employee. Permits that cannot be granted via a simple decision tree are not handled in this process.Last change on 31st of October 2025, at 13:34 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Uthiek, DPIA
- Status
- In use
- Using a (license plate) image recognition algorithm, check whether parked cars have the right to be parked where paid or permit parking applies.Last change on 8th of September 2025, at 9:53 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA
- Status
- In use
- The Struck algorithm supports employees in assessing whether a proposed building activity may be licence-free under relevant laws and regulations, such as the Environment Act and the Building Works Environment Decree (Bbl). The system analyses imported features of a building plan and compares them with applicable rules to provide an indicative assessment and explanation.Last change on 18th of March 2026, at 11:11 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use