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: reporting berth usage by passenger shipping

This algorithm falls under Digital moat.

Last change on 6th of January 2025, at 13:00 (CET) | Publication Standard 1.0
Publication category
Impactful algorithms
Impact assessment
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Status
Out of use

General information

Theme

  • Economy
  • Space and Infrastructure
  • Traffic

Begin date

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Contact information

Algoritmen@amsterdam.nl

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.

Reporting berth usage by passenger vessels:
Passenger vessels are only allowed to moor at licensed moorings in public waters. The number of licensed moorings is limited. A report, based on AIS data, determines whether passenger vessels are within their licensed mooring area at night. The algorithm notifies if a passenger vessel is in public water at night without a permit for that location. These reports provide insight into compliance with mooring usage rules and can be used for information-driven deployment and inspections by waterway inspectors.

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.

Six algorithms are used within the Digital Moat: two for traffic monitoring (Pressure per channel and waterway traffic model) and four for information-driven enforcement (Detection of illegal passenger shipping, Reporting speeding passenger shipping, Detection of noise nuisance on the water and Reporting berth usage passenger shipping). Now the algorithm Reporting Passenger Berth Use is described.

Human intervention

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Risk management

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Operations

Data

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