Digital Twins as a Catalyst for Sustainable and Smart Cities

This project aims to develop an urban digital twin for the city of Austin that assists city planners and managers to build a sustainable and smart city. The proposed urban digital twin will incorporate a data management and visualization platform, a real-time city monitoring system, an integration of predicting models, and a dynamic urban simulation environment to achieve effective city management, better resource allocation, more efficient transportation operation, and more proactive responses to risks. The data management and visualization platform will store and publish static and real-time urban data. The platform will enable API access and data download to facilitate third-party use. The real-time city monitoring system will access and process multiple data sources, including public real-time dataset, camera, and road sensors, for traffic monitoring and accident detecting. The digital twin will incorporate a traffic predicting model and a risk predicting model using graph-based deep learning methods. The project team will also build a dynamic urban simulation environment for the city of Austin, including a 3D city model, a road network model, and a traffic simulator. These digital twin modules will operate cooperatively by interacting with each other to synchronize real-world and virtual information. The expected outputs of this project include online platforms, software, technical reports, and research papers.

Language

• English

Project

• Status: Active
• Funding: $241478
• Contract Numbers:

  DOT 69A3552348325

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Center for Climate-Smart Transportation

  Johns Hopkins University
  Baltimore, MD  United States 
• Managing Organizations:

  Center for Climate-Smart Transportation

  Johns Hopkins University
  Baltimore, MD  United States 
• Performing Organizations:

  University of Texas at Austin

  Austin, TX  United States  78712
• Principal Investigators:

  Jiao, Junfeng

• Start Date: 20231001
• Expected Completion Date: 20240930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Cities; Data management; Digital simulation; Machine learning; Monitoring; Roads; Sustainable development; Traffic simulation; Visualization
• Geographic Terms: Austin (Texas)
• Subject Areas: Data and Information Technology; Design; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01911693
• Record Type: Research project
• Source Agency: Center for Climate-Smart Transportation
• Contract Numbers: DOT 69A3552348325
• Files: UTC, RIP
• Created Date: Mar 12 2024 10:57AM