Smart city digital twins for safer, more resilient infrastructure

Model transportation, utilities, public spaces, and emergency scenarios as living digital twins—so city teams can plan confidently, coordinate effectively, and respond faster when it matters most.

Cities are managing more risk, with less margin for error

City and infrastructure leaders are responsible for keeping essential services running while facing aging assets, climate-driven disruptions, population growth, and rising public expectations.

What's increasing complexity

  • Aging transportation, energy, and utility infrastructure
  • Increased frequency and severity of extreme weather events
  • Fragmented data and coordination across agencies
  • Limited ability to test emergency or disruption scenarios safely
  • High public and political scrutiny when things go wrong

The smart city advantage

  • Understand and manage system interdependencies
  • Test emergency scenarios and response plans safely
  • Coordinate decisions across agencies and domains
  • Plan infrastructure investments with confidence
  • Build resilient, responsive city operations

From reactive response to proactive resilience

For smart cities and critical infrastructure, an intelligent digital twin provides a living model of how urban systems behave together.

It continuously represents:

  • Transportation networks and traffic patterns
  • Energy, water, and utility infrastructure
  • Public facilities and critical assets
  • How disruptions cascade across systems

With an intelligent digital twin, city teams can:

  • Simulate emergencies and disruptions without risk
  • Coordinate responses across departments and agencies
  • Identify vulnerabilities before failures occur
  • Support long-term planning with evidence, not assumptions

Smart city use cases powered by intelligent digital twins

Safety & Emergency Simulation

Prepare for rare but high-impact events.

  • Simulate floods, outages, accidents, or evacuations
  • Practice response and coordination in a risk-free environment
  • Improve readiness and response times
Learn more →

Mobility & Transportation Optimization

Improve flow and reduce congestion.

  • Model traffic patterns and transit operations
  • Test signal timing, routing, and policy changes
  • Understand the impact of construction or incidents

(Often combined with supply chain and logistics visibility)

Infrastructure Resilience Planning

Plan for climate and growth.

  • Stress-test infrastructure under extreme conditions
  • Identify weak points in networks
  • Support investment and upgrade prioritization

Utilities & Services Coordination

Break down silos between systems.

  • Understand how power, water, and transport interact
  • Coordinate maintenance and response activities
  • Reduce unintended service disruptions
Learn more →

Supporting decisions across city roles

Emergency management & public safety

  • Practice response scenarios before real events
  • Improve coordination across agencies
  • Reduce confusion during live incidents

Urban planners & infrastructure teams

  • Evaluate long-term development and infrastructure plans
  • Understand trade-offs between cost, risk, and service levels
  • Support transparent, data-backed decisions

Operations & control centers

  • Monitor system health across domains
  • Identify emerging risks early
  • Coordinate actions across departments

What cities typically aim to improve

While outcomes vary by city and scope, teams often target:

  • Faster, safer emergency response
  • Improved coordination across agencies
  • Reduced service disruption during incidents
  • Better visibility into system-wide risk
  • Stronger confidence in long-term planning

The biggest gains come from understanding the city as a connected system—not a collection of silos.

Start with one scenario or district. Prove value. Expand city-wide.

1. Start

Choose a high-risk scenario, corridor, or critical asset cluster.

2. Prove

Use real data to validate insights and response improvements.

3. Scale

Extend the twin to additional systems, districts, and scenarios—reusing proven approaches.

How the platform supports scale →

Common questions from city and infrastructure leaders

Is this only for large "smart city" initiatives?
No. Many cities start with a single use case—such as emergency simulation or traffic management—before expanding.
How do you handle data from multiple agencies?
Digital twins are designed to integrate data from different sources while respecting governance and access controls.
Is this secure enough for critical infrastructure?
Yes. Deployments can be designed for strict security, governance, and regulatory requirements.
Do we need perfect data coverage?
No. Many programs start with partial data and improve coverage as value is demonstrated.
How quickly can we see value?
Initial insights are often available within weeks for a focused use case.

Ready to build resilient smart city infrastructure?

Start with one critical system or emergency scenario. Prove value with real data. Scale to city-wide coordination.