Remote Sensing System Enhancement for Digital Twinning of the Built Infrastructure to Support Critical Infrastructure Protection Research
The concept of digital twins is an enabler to address today’s infrastructure lifecycle management challenges, especially in this challenging era with the growing threats of pandemics, natural disasters, funding shortfalls, and social unrests. Digital twins support cost-effective ways of exploring what-if scenarios from which the most effective interventions can be identified. The resilience research group at Rutgers Center for Advanced Infrastructure and Transportation (CAIT) has been conducting pioneering research studies in the last decade along the dimensions of leveraging Geomatics Engineering technologies such as laser scanning to create high fidelity digital twins to support critical infrastructure protection. The purpose of this project is to acquire a new terrestrial laser scanner – Faro Focus S350 to further support and strengthen this line of research. The addition of this proposed scanner will enable new research studies in digital twinning of the built infrastructure to support mitigation of flood threats to critical transit stations and evaluation of disinfection methods for transportation facilities. The intended outcomes of the project are (1) a digital twin product for infrastructure stakeholders; (2) a generalizable workflow in creating digital twins with terrestrial laser scanners; and (3) new software applications based on digital twins aimed for critical infrastructure protection use cases. These tools and data are expected to aid infrastructure stakeholders to prioritize their investments on addressing infrastructure vulnerabilities to coastal flooding and consequently prolong the life of infrastructure. The outcomes will be documented in software products, training modules, technical reports, and peer-reviewed publications.
Language
- English
Project
- Status: Completed
- Funding: $71410
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Contract Numbers:
69A3551847102
CAIT-UTC-REG47
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
New Jersey Transit Corporation
1 Penn Plaza East
Newark, NJ United States 07105-2246Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Project Managers:
Mason, Brad
Szary, Patrick
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Performing Organizations:
Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Principal Investigators:
Gong, Jie
- Start Date: 20210201
- Expected Completion Date: 20221231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Asset management; Decision support systems; Digital simulation; Disaster resilience; Floods; Infrastructure; Public transit; Remote sensing; Scanners; Software
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Security and Emergencies; Terminals and Facilities;
Filing Info
- Accession Number: 01765187
- Record Type: Research project
- Source Agency: Center for Advanced Infrastructure and Transportation
- Contract Numbers: 69A3551847102, CAIT-UTC-REG47
- Files: UTC, RIP
- Created Date: Feb 19 2021 4:14PM