Digital twin is one of those terms that gets thrown around so often it has a bunch of different meanings. Everyone agrees they’re important, fewer people agree on what they actually are, and fewer can point to a real one in action.
So let’s fix that. Here are five real digital twins built by real teams, solving real problems from a firm mapping a Navy port to a nonprofit trying to bring an extinct fish species back from the brink. All these examples were presented at the Esri UC in San Diego last month.
The Firm That Built Three Twins at Three Different Stages
Michael Baker International didn’t just build one digital twin. They built three, and conveniently, each one sits at a different stage of maturity, which makes for a pretty perfect case study in how this technology actually evolves.
Start with the Mobile Navy Yard in Alabama. This is a facility that had changed hands so many times that nobody really knew what was underground anymore from pipes, electrical conduits, or environmental hazards. The old-school fix would’ve been a 200-page assessment report that gets read once and then filed away forever. Instead, the team sent in drones and ground-penetrating radar, then turned all of it into a living digital delivery platform. They still handed over a traditional report too, but now it links directly back into the twin.
Then there’s Hartsfield-Jackson Atlanta International Airport, which already had decades of solid GIS work behind it but had never actually connected that to real-time operations, BIM, or CAD data. Using GeoBIM and ArcGIS Velocity, the team stitched it all together into one live view with wait times, asset status, maintenance needs, all in one place.
Things then get interesting with Pennsylvania DOT’s snow operations, which throws out the assumption that a digital twin even needs a map. This one is built entirely of data from plow diagnostics, weather sensors, and traffic conditions with AI layered on top. Ask it something like “we’re expecting six inches of snow, what roads need attention first?” and it gives you an answer based on historical operations.
What Happens When You Build a Digital Twin of Nature Itself?
Not every digital twin is about roads or buildings. Kelly Easterday from The Nature Conservancy came to talk about something much wilder, literally.
The setting is the Jack and Laura Dangermond Preserve, 24,000 acres of California coastline sitting at one of the rarest ecological crossroads on the planet, where land and sea ecosystems collide. Protecting it was the easy part. The hard part was that ecological data is a mess scattered across disciplines, disconnected, and impossible to use to answer a question like “what’s changing here, and why?”
Enter the Dangermond Preserve Geospatial Hub, an open data platform now feeding over 100 sensors, 40 institutional partners, and 160+ active research projects. One of the most interesting outputs is a groundwater network of 41 wells, each reporting every fifteen minutes, being used to figure out whether the extinct steelhead trout could survive there again. That research has already helped remove two dams and reopen thirteen miles of river.
New Zealand Solved a Problem Most Countries Haven’t Even Admitted They Have
Here’s a problem you don’t think about until you have to fix it: New Zealand has 200,000 kilometers of roads, rail, and pathways, owned by more than seventy different organizations and until recently, each one described that infrastructure in its own way. Different standards, different formats, and some of it locked behind restricted access.
WSP and the New Zealand Transport Agency spent years building the AMDS Network Model to fix this, one authoritative, constantly-updating national map of the entire transport network. The impact has been huge: work that used to take days of manual data wrangling now takes minutes. When Cyclone Gabrielle hit, and later during earthquake response planning, officials could identify affected bridges and closures almost instantly instead of scrambling for days. Both Wellington City Council and LINZ, the country’s mapping agency, have called it a genuinely game-changing achievement.
Raleigh Is Growing Fast, and Its Digital Twin Is Trying to Keep Up
Raleigh, North Carolina is one of the fastest-growing cities in the US, and growth like that puts real strain on transportation, utilities, and infrastructure. Luckily, the city had solid GIS in place for over a decade and it’s putting that foundation to use.
There’s a public-facing heat island map that shows residents exactly how extreme heat plays out block by block in their own neighborhoods, data that also feeds a physics-based microclimate model simulating wind patterns across the city. There’s redevelopment simulation, modeling how new construction ripples through traffic. Since keeping a full digital twin of a 146-square-mile city is difficult, Raleigh has started using drones and Gaussian Splats to capture specific sites as needed.
The standout, though, might be what they’re doing with traffic cameras. Using NVIDIA’s computer vision tech, Raleigh converts live camera footage into real-time traffic data streamed straight into ArcGIS and the same system can now automatically detect incidents, like a stalled car blocking an intersection, with plans to eventually alert public safety in real time.
So What’s the Actual Takeaway Here?
Strip away the industries and the jargon, and the same story keeps repeating: start with accurate data, add real-time visibility, and eventually get to a point where the system can help you predict what’s coming next. In every single one of these examples, geography is the thing holding it all together, the one common thread linking business systems, engineering data, and day-to-day operations into something people can actually use to make better decisions.
