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.
Smart deployment of road inspectors
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
- Traffic
- Public Order and Safety
- Space and Infrastructure
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
Rijkswaterstaat's objective is road safety and traffic flow on the road network. Together with its partners, it ensures that lanes are cleared quickly at incidents. By cleverly positioning road inspectors, the response time to incidents can be made as short as possible. As a result, incidents are secured and dealt with as quickly as possible. When dealing with incidents, each party, such as police, fire brigade and ambulance, as well as salvage companies, has its own tasks and responsibilities.
Considerations
Previously, road inspectors were deployed based on historical data on fixed deployment areas (road route), traffic is a dynamic environment. By using historical data combined with current incidents, a more effective deployment of road inspectors was sought whereby they can now be deployed region-wide.
In the period from 2015 to date, road inspectors have been equipped with a track and trace system in the official cars. This allows the traffic centres (direction in control) to see where they are. The smart algorithm allows road inspectors to be directed to road sections where incidents are statistically expected, in addition to publishing their active location.
Human intervention
Risk management
Legal basis
Road Traffic Act 1994 (WVW)
Links to legal bases
Operations
Data
Historical incident data and current location data from road inspectors
External provider
Similar algorithm descriptions
- To ensure road quality and safety, an algorithm has been developed to provide insight into road wear. The algorithm predicts required maintenance on South Holland N roads using existing historical measurements.Last change on 8th of November 2024, at 13:32 (CET) | Publication Standard 1.0
- Publication category
- High-Risk AI-system
- Impact assessment
- Field not filled in.
- Status
- Out of use
- It is a traffic model to provide city-wide insight into the nuisance caused by activities (construction works, road works and events) on the Bereikbaarheidsregie network (the Hague's main traffic network), in order to safeguard Hague's Accessibility as much as possible.Last change on 23rd of August 2024, at 15:22 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- This algorithm has a low impact. Because the smart traffic lights are able to 'recognise' traffic, it becomes possible to prioritise certain traffic flows over others (in the Westfields area).Last change on 28th of June 2024, at 8:26 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- Whereas ordinary traffic lights register by detection loops (sensors in the road) that traffic is passing over, 'smart' traffic lights additionally register via apps what kind and how much traffic is coming. This allows traffic lights to see traffic "arriving" earlier and thus determine how long the traffic light is on green.Last change on 27th of June 2024, at 13:04 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- This algorithm has a low impact. Because the smart traffic lights are able to 'recognise' traffic, it becomes possible to prioritise certain traffic flows over others.Last change on 26th of November 2024, at 15:56 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use