Remote Sensing System Enhancement for Digital Twinning of the Built Infrastructure to Support Critical Infrastructure Protection Research

The purpose of this project is to acquire a laser scanner and explore its utilities for creating digital twins of infrastructure systems to support infrastructure management. In joint with an ongoing project with New Jersey Transit Office of Emergency Management (NJ Transit OEM) on developing an early flood warning system, the project focused on applying the laser scanning and building modeling technologies to support digital twinning of infrastructure systems. The authors conducted 3D mapping activities throughout the Hoboken Terminal to create a rich semantic building model for the station. Based on the building model, the authors have already created a preliminary digital twin which consists of digital models of the station itself, a hazard system simulating the compounding of storm surge and rainfall events, and a decision simulator to allow for the investigation of what-if scenarios under various storm events. Infrastructure stakeholders have experimented with the Hoboken digital twin for various flood mitigation analysis. The project ended with delivering a critical digital twin based early flood warning system for infrastructure stakeholders.

• Record URL:
  https://cait.rutgers.edu/wp-content/uploads/2021/02/cait-utc-reg47-final.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/67280
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Center for Advanced Infrastructure and Transportation

  Rutgers University
  100 Brett Road
  Piscataway, NJ  United States  08854-8058

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  New Jersey Transit

  NJ Transit Headquarters, One Penn Plaza East
  Newark, NJ  United States  07105-2246
• Authors:
  • Gong, Jie
  • 0000-0002-7915-7304
  • Wang, Yifan
  • 0000-0003-0551-1822
• Publication Date: 2022-10

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; Photos; References;
• Pagination: 19p

Subject/Index Terms

• TRT Terms: Digital displays; Disaster preparedness; Floods; Rail transit stations; Three dimensional displays
• Identifier Terms: Hoboken Rail Terminal
• Geographic Terms: New Jersey
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Security and Emergencies; Terminals and Facilities;

Filing Info

• Accession Number: 01882621
• Record Type: Publication
• Report/Paper Numbers: CAIT-UTC-REG47
• Contract Numbers: 69A3551847102
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: May 23 2023 9:27AM