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: crowds per rak

This algorithm calculates the number of vessels passing each rack per hour

Last change on 25th of April 2024, at 12:41 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In development

General information

Theme

  • Economy
  • Space and Infrastructure
  • Traffic

Begin date

Field not filled in.

Contact information

Algoritmen@amsterdam.nl

Responsible use

Goal and impact

Dynamic boating traffic model
Crowds per rak:

This algorithm calculates the number of vessels passing each rak per hour. A rak is a stretch of waterway between, for example, two bridges or a bridge and a lock. The purpose of this algorithm is to understand traffic flows and how they change over time. Gathering this information helps inform, and evaluate, policies and make decisions about traffic measures.

Traffic volumes are determined from two data sources: location data from vessels with an AIS transponder (mainly commercial shipping) and passages of vessels with an electronic vignette. Electronic vignettes are mandatory for motorised pleasure and commercial vessels. The passage of vessels with vignette can be measured as vessels pass a short distance from a sensor. By measuring the shortest route of each vessel, the model derives itineraries of vessels. This pseudominated data is translated into the number of passages per hour per rack. Developed in 2020, the "crowds per rak" report provides up-to-date traffic volumes via the Digital Canal dashboard. The historically aggregated data are also used for analysis.

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 Canal, six algorithms are used: two for traffic monitoring (Pressure per lane 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 mooring use passenger shipping). Now the Pressure per rack algorithm is described.

Human intervention

Field not filled in.

Risk management

Field not filled in.

Operations

Data

Field not filled in.

Similar algorithm descriptions

  • This calculator calculates the maximum rent of a home. The estimated rent depends on the number of points a home gets for energy efficiency, surface area, WOZ value and luxury.

    Last change on 18th of July 2024, at 12:54 (CET) | Publication Standard 1.0
    Publication category
    Other algorithms
    Impact assessment
    Field not filled in.
    Status
    In use
  • This algorithm is a calculation programme for determining noise levels from road traffic, railways and industry.

    Last change on 5th of January 2024, at 14:35 (CET) | Publication Standard 1.0
    Publication category
    Impactful algorithms
    Impact assessment
    Field not filled in.
    Status
    In use
  • Determining and approving the WOZ value.

    Last change on 25th of June 2024, at 7:10 (CET) | Publication Standard 1.0
    Publication category
    High-Risk AI-system
    Impact assessment
    Field not filled in.
    Status
    In development