CITY INTELLIGENCE · ALGI DIGITAL TWIN

Digital Twin for Municipalities

An urban digital twin brings a city's buildings, roads and utility networks into a single 3D model kept current with live data. For a municipality, it lets planning, public works, transport and disaster teams work on the same model. The effect of a new building on its surroundings, where water pools in a downpour, or the traffic load of a road closure can be tested in the model before anyone goes to site. The model is kept current from your GIS records, drone flights and geotagged findings from CityView vehicle cameras.

What is an urban digital twin?

A digital twin is a digital copy of a physical asset that is kept current with data. At city scale, that copy models buildings, roads, sidewalks, green areas, utility networks such as water and sewer lines, and the terrain itself in three dimensions. Unlike a map, the model is not static: data from the field flows into it, and it can be queried.

For a municipality, this means records that sit in separate systems come together in one place. Zoning plans, parcel data, the utility inventory and findings from field inspections are read on top of each other in one coordinate system. One department's record becomes another department's decision input.

The digital twin models the city's physical assets. It does not monitor or identify people; its purpose is not public surveillance but putting infrastructure and service decisions on a shared data foundation.

How is a municipal digital twin built and used?

Deployment moves through three layers.

The model is built. The municipality's existing GIS and map data is the base; building and terrain geometry is lifted into 3D from drone flights and mobile camera imagery. Zoning, parcel and utility layers are linked to the same model.

The model stays current. Findings that CityView vehicle cameras flag, such as potholes, collapsed curbs and worn road markings, land in the model with their location. Where an institution has sensor and meter data, those feeds connect too; an asset's latest condition and maintenance history live in one record.

Scenarios are tested. Scenarios such as a new building, a road closure, a downpour or an earthquake run on the model; affected districts, roads and utility lines are marked on the map. Maintenance and investment priorities are ranked from those results.

Outputs open on each department's own screen: public works gets its maintenance list, planning its impact analysis and the disaster team its risk map, all from the same model. The data behind each decision stays on record.

Which industries use it?

Frequently asked questions

What is a digital twin for municipalities?
A digital twin combines a city's buildings, roads and utility networks into one 3D model kept current with data. Planning, public works, transport and disaster teams work on the same model; field findings flow into it, and scenarios are tested in the model before going to site. The goal is to ground infrastructure and service decisions in data.
What data is a digital twin built from?
The base is the municipality's existing GIS and map data. Building and terrain geometry is lifted into 3D from drone flights and mobile camera imagery, and zoning, parcel and utility layers are linked to the same model. Geotagged CityView findings, plus sensor data where available, keep the model current.
Which scenarios can a digital twin simulate?
The effect of a new building on its surroundings, the traffic load of a road closure, where water collects in a downpour, and disaster scenarios such as earthquakes run on the model. Affected districts, roads and utility lines are marked on the map, and maintenance and investment priorities are ranked from the results.
Does it work with our existing GIS?
Yes. The model builds on the municipality's existing GIS data rather than replacing it. Layers are kept in one coordinate system, and zoning, parcel and utility records are linked to the model. Which layers are transferred and how often they update is agreed with the municipality's IT team before deployment.
Does the digital twin monitor people?
No. The digital twin models the city's physical assets: buildings, roads, sidewalks, green areas and utilities. It does not monitor or identify people and keeps no person-level records. Its purpose is not public surveillance; it is to make infrastructure, maintenance and disaster-readiness decisions on a shared data foundation.
How does a digital twin project start?
The first step is choosing a pilot area: one neighbourhood or one road corridor is modelled, the municipality's existing data is connected and the first scenario is run together. Based on the pilot, the model scales to district or city level. Scope and timeline are set at the quote stage, according to the municipality's data.

DON'T SEE YOUR NEED?

Dijital Atölye listens to the problem in the field, prototypes, validates and productizes. Some of the products running in the field today were born on this line.

Bring the problem, let's talk prototype →

Choose your cookie and measurement preferences; your choice is stored on your device and also applies to app.algi.ai. Cookie Policy →

Cookie and Measurement Preferences

Google cookies (Analytics and Ads conversion measurement) are set only with your consent; no ad personalisation or remarketing cookies are used. On desktop, the home page video loads from Vimeo, which sets its own security cookies. Below are the categories actually in use and their purposes; your choice is stored on your device and also applies to app.algi.ai. Cookie Policy →

Necessary ALWAYS ACTIVE

The record of your consent choice (algi-consent cookie). Required for the site to function; contains no identity data.

Preferences

Remembering your light/dark theme choice (algi-theme). If disabled, the record is removed and the theme resets each visit.

Anonymous usage measurement

We measure how you use the site without cookies and without identifying you, on our own server. You can turn this off at any time.

Statistics cookies (Google Analytics and Ads)

Google Analytics and Google Ads conversion cookies (_ga, _ga_*, _gcl_au) for visit and ad campaign statistics. Enabled only with your consent; no cookies are set while off.