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πŸ™οΈ CivicTwin AI β€” Digital Twin & AI Platform for Smart Urban Management

Demo System
License: GPL-3.0

CivicTwin AI Banner

"From reactive response to proactive prediction β€” AI is the urban planner's partner"

CivicTwin AI is an advanced platform integrating Digital Twin and Artificial Intelligence, designed to transform urban management from reactive to predictive and proactive. The system models an entire city as a dynamic network graph, integrating real-time data from cameras, IoT sensors, weather data, and citizen reports to support fast, accurate, and sustainable decision-making.

πŸ“‹ Urban Context​

Background​

As rapid urbanization unfolds in major cities, traditional urban management systems face serious challenges.

Current Situation:

  • Growing vehicle density leads to prolonged congestion during peak hours.
  • Urban flooding frequently occurs due to extreme rainfall and climate change.
  • Most current systems focus only on real-time monitoring (monitoring) but lack the ability to predict and simulate the impacts of incidents.
  • Slow response times, difficulty in optimizing traffic coordination, and lack of timely decision-support tools for urban authorities.

🎯 Project Objectives​

Short-term Goals​

  1. Build a comprehensive Digital Twin for the city
  2. Deploy AI predictions:
    • Traffic flow from historical and real-time data
    • Environmental risks based on weather data + IoT sensors
  3. Support simulation: Allow authorities to test scenarios (new roads, traffic flow changes, urban zone development) before real deployment
  4. Decision Support Dashboard: Provide an intuitive interface for authorities and citizens

Long-term Goals​

  • Deeply integrate into existing urban management systems of major cities, becoming a core platform supporting intelligent real-time operations and decision-making.
  • Expand applications to key sectors: energy management, environmental monitoring and protection, public transportation optimization, urban planning, and other public services.

πŸ’‘ Solution – CivicTwin AI​

CivicTwin AI is a comprehensive platform combining Digital Twin with AI, working as a "living digital mirror" of the city. Every road, every intersection, every sensor is synchronized in real-time. By simulating the city's "heartbeat" in a digital environment, we shift from data monitoring to impact prediction and response optimization.

πŸ”¬ What is a Digital Twin?​

Definition​

A Digital Twin is a virtual replica of a physical entity β€” it can be a machine, production process, building, or even an entire city.

A Digital Twin is NOT:

  • ❌ A static image or simple 3D model
  • ❌ A snapshot like a photograph

A Digital Twin IS:

  • βœ… A dynamic system, continuously updated with real-time data
  • βœ… Integrates data from: sensors, IoT, cameras, satellite data…
  • βœ… Accurately reflects the state of the "original"
  • βœ… Two-way: real data β†’ updates digital twin; digital twin decisions β†’ applied back to reality

Digital Twin Capabilities​

  1. Simulation: Test scenarios without changing reality
  2. Prediction: Forecast incidents, failures, future performance
  3. Optimization: Find the best operation method, save costs, reduce risks
  4. Two-way Analysis: Real Data ↔ Digital Twin β†’ accurate decision-making

πŸ‘₯ Target Audience​

CivicTwin features

πŸ‘¨β€πŸ’Ό 1. Urban Planners & Government Officials​

  • Forecast the impact of infrastructure projects before deployment
  • Simulate scenarios to optimize decisions
  • Data dashboard for fast, accurate decision-making

πŸ‘· 2. Traffic Engineers & Urban Specialists​

  • Detailed analysis of traffic flow and risks
  • Simulate effectiveness of corresponding measures
  • Optimize traffic infrastructure

πŸ›οΈ 3. Community Organizations & NGOs​

  • All citizens can use the tool to propose projects
  • Transparency of economic, social, and environmental impacts

πŸ“š 4. Researchers & Students​

  • Access open data for research
  • Model complex urban problems

πŸš€ Core Features​

CivicTwin functionality

1. Real-time Digital Twin​

  • Model the entire city as a network graph
  • Continuous updates from traffic cameras, IoT sensors, weather data
  • Display the actual state of each area on an interactive map

2. AI Predictions​

  • Traffic flow forecast for the near future
  • Flood warnings based on weather data + water level sensors

3. Decision Support Dashboard​

  • Impact Score: Composite impact score (0–100)
  • Radar Chart: Visualize 5 indicators (Economic, Environmental, Accessibility, Equity, Safety)

4. Emergency Priority Support​

  • When an accident/flood occurs, AI identifies the fastest route for ambulances/fire trucks
  • Cascade warnings: Forecast which areas traffic congestion will spread to
  • Evacuation guidance: Recommend safe routes for citizens

πŸ“š Technology Stack​

ComponentTechnologyRole in System
Frontend InterfaceLeaflet.jsDisplay interactive maps, draw data overlay layers such as flood zones, traffic flows, and Digital Twin entities.
Backend LogicNode.js (Express)Acts as the central hub for API coordination, session management, and database connections.
Artificial IntelligenceAmazon BedrockProvides infrastructure to run large language models and prediction models, supporting scenario analysis and urban resource optimization.
DatabasePostgreSQL + PostGISStore and process complex spatial data, perform geometric operations such as intersection checks, buffer creation, and distance calculations.
Real-time ConnectivityWebSocketsMaintain continuous bidirectional connections, ensuring IoT sensor data is updated on the map in real-time.

🌟 CivicTwin AI vs. Current Systems​

Criteria❌ Current Systemsβœ… CivicTwin AI
ApproachMonitoring only – past & present dataMonitoring + Prediction – from past & present data β†’ future
ResponseReactive – only acts after incidentsProactive – forecasts and prevents before occurrence
Prediction CapabilityNo forecasting – unknown futureForecasting available – supports early decision-making
Scenario AnalysisNone or very limitedWhat-if simulation – test first, visualize results
Risk & CostHigh risk – wasted budget, unintended impactsReduced risk – optimized cost and efficiency
TransparencyLow, difficult to verifyTransparent + Validated – AI explains, open data, community participation

πŸ“– Key Documentation​

🎯 Conclusion​

CivicTwin AI is a comprehensive Digital Twin + AI solution for smart urban traffic management. The system not only monitors in real-time but also has the ability to predict cascade impacts of incidents, propose optimal solutions, and support infrastructure planning simulation.

The project not only solves today's traffic problems but also contributes to building the foundation for sustainable smart cities in Da Nang and other Vietnamese cities in the future.

CivicTwin AI – Smart prediction, safer cities.

πŸ“ž Contact & Contribution​

  • GitHub Repository: https://github.com/ASEAN-AI-DZ/CivicTwin
  • Contribution: Fork repository β†’ create feature branch β†’ open Pull Request
  • Bug Report: Create GitHub Issue with detailed description and steps to reproduce

πŸ“„ License​

This project is distributed under the GNU General Public License v3.0. See the LICENSE file for more details.

Developed with ❀️ towards smart, sustainable cities

"Technology serving people, minimizing climate risks, and improving quality of life."