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.
Digital moat: Detection of noise pollution on water
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- Out of use
General information
Theme
- Economy
- Space and Infrastructure
- Traffic
Begin date
Contact information
Responsible use
Goal and impact
Information-driven enforcement:
Four algorithms are being developed within the Digital Moat for information-driven enforcement. So far, fairway inspectors have not imposed sanctions based on these algorithms. The algorithms are not yet in use because they must first be assessed for legal and municipal requirements and applicability. A detailed description will be added to the register when the algorithms are put into use.
Detection of noise pollution on the water:
In Amsterdam, there are many reports of noise pollution on the water. Waterway inspectors can impose fines when noise nuisance is detected in the act. To support enforcement, sensors have been installed that register noise volume and movement on the water. The algorithm identifies potential noise nuisance based on three criteria: noise volume from the water is above a threshold, higher noise volume than from the shore and simultaneous movement from a vessel. When these criteria apply, an incident of potential noise nuisance is recorded. The recorded incidents can be used to gain insight into hotspots of structural nuisance locations. Based on this information, fairway inspectors can visit and monitor a location.
Considerations
The Digital Canal:
The Digital Canal measures traffic on Amsterdam's inland waterways. The project started in 2019 under the Sailing programme. The Sailing programme falls within the Space and Economy cluster. For the project, sensors have been placed along the inland waterways in the city centre and the main waterways outside the centre of Amsterdam. By deploying these sensors, the municipality is developing a dynamic traffic model and tools for information-driven enforcement. This is done with the help of algorithms. The calculated traffic data is processed and presented in a digital overview (dashboard). The dashboard is accessible to policy advisers, nautical managers and waterway inspectors.
Within the Digital Moat, six algorithms are used: two for traffic monitoring (Pressure per channel and waterway traffic model) and four for information-driven enforcement (Detection of illegal passenger shipping, Reporting speed violations by passenger shipping, Detection of noise pollution on the water and Reporting mooring use by passenger shipping). Now the algorithm Detection noise pollution on water is described.
Human intervention
Risk management
Operations
Data
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