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Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication

delete2026-01-01
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PRE
AI
A
Alyssa Cassity
H
Hieu Trung Le *
H
Hernán Santos
E
Erik Priest
T
Tao Jian
DOI:10.1007/978-3-031-94895-4_10delete
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Abstract

Abstract

En 中文
The study focuses on developing a digital twin testbed tailored for public safety technologies, incorporating simulated wireless communication within the digital world. The integration enables rapid analysis of signal strength, facilitating effective communication among personnel during catastrophic incidents in the virtual environment. The virtual world also helps with the training of first responders. The digital environment is constructed using the actual training facility for first responders as a blueprint. Using the photo-reference method, we meticulously constructed all buildings and objects within this environment. These reconstructed models are precisely placed relative to their realworld counterparts. Subsequently, all structures and objects are integrated into the Unreal Engine (UE) to create an interactive environment tailored specifically to the requirements of first responders.
Keywords:
Digital Twin
Public Safety
Wireless Communication
DDDAS
Dynamic Data Driven Applications Systems
InfoSymbiotic
Systems

Journal

D
DYNAMIC DATA DRIVEN APPLICATIONS SYSTEMS, DDDAS/INFOSYMBIOTICS FOR RELIABLE AI 2024
IF:
0
Papers:
40
Citations:
0

Organization

T
Texas A&M University System
Scholars:
4.4W
Papers: 4.0W
Citations: 4.0K