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CoRD2 Emergency App Synchronization

Designing a pipeline for seamless data exchange between the CoRD2 emergency app and Urban Digital Twin.
Team
Dr. Soheil Sabri (PI), Dr. Yue (Gurt) Ge, Alex Hynds
Funding
UCF Institute for Modeling, Simulation, and Training (IST) Urban Digital Twin Lab

Project Objectives

To provide Emergency Managers (EMs) with real-time geospatial information and a combined web/mobile app ecosystem for responding to natural disasters. The project focuses on visualizing EM-relevant data in a 3D environment to improve situational awareness and predictive response for the UCF campus.

Deliverables

  • Successfully tested the mobile digital twin application during an emergency management drill in April 2025.
  • Developed a CesiumJS-based 3D geospatial engine integrating Google Photorealistic 3D Tiles and real-time sensor heatmaps.
  • Implemented a server-side API proxying system using Node.js/Express to integrate TomTom Traffic, NOAA Weather, and Blues Notehub IoT data.
  • Created a weighted Flood Risk Scoring System and Social Vulnerability Index (SVI) analysis tool for localized danger assessment.
  • Engineered a Dynamic Polygon Height Adjustment algorithm to mitigate 'Z-fighting' between 2D land-use data and 3D terrain models.
  • Integrated live HLS video streaming via Video.js for real-time traffic monitoring via FDOT cameras.