Towards an Open-Source Web GIS-based Bridge Management System Using Advanced Geo-Spatial Data Visualization and Integration Technologies

This research project developed and implemented a web Geographic Information System (GIS)-based bridge management system (BMS) that allows for advanced geospatial visualization and potential data integration on a centralized cloud platform. The specific tasks of this project were: 1) to provide a comprehensive review of current BMS development activities; 2) to identify available bridge-related data sources at the state department of transportation (state DOT), which enable the further data integration needed for a variety of analytical purposes; 3) to build a more realistic model to represent the deterioration of bridge components by using a semi-Markov transition process. The semi-Markovian transition probabilities were derived directly by accessing and analyzing the National Bridge Inventory (NBI) database; and 4) to develop a web GIS-based bridge management system that allows advanced geospatial visualization and potential data integration on a centralized cloud platform. The pertinent bridge maintenance data includes text, images, engineering documents, citizen reports, and remote sensing data. The research team used Esri™ technology-based ArcGIS Online as the major development tool and the developed BMS is designed as a bi-level platform. The upper level manages the overall bridge network based on two-dimensional (2D) vectors or images, while the lower level handles three-dimensional (3D) spatial information and real-time data streams for monitoring the health of individual bridges. One of the major outcomes of this project is an open source BMS prototype that can meet the need to create custom applications, provide a platform for integrating GIS with other business systems, and enable cross-organizational collaboration. The prototype provides an open-source architecture for the public. Its architecture and codes will be open to end users and thus can be easily customized by any transportation agencies for their bridge management needs.

• Record URL:
  • https://static1.squarespace.com/static/526c7a98e4b023d8f09390ed/t/5c05b7a0aa4a9907ebc07231/1543878566050/SPTC15.5-01+Liu.pdf
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Texas Tech University, Lubbock

  Center for Multidisciplinary Research in Transportation
  P.O. Box 41023
  Lubbock, TX  United States  79409-1023

  Southern Plains Transportation Center

  University of Oklahoma
  201 Stephenson Pkwy, Suite 4200
  Norman, OK  United States  73019

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Liu, Hongchao
  • Wu, Dayong
  • Zhao, Junxuan
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 39p

Subject/Index Terms

• TRT Terms: Bridge management systems; Cloud computing; Data fusion; Geographic information systems; Markov processes; Prototypes; State departments of transportation; Structural health monitoring; Web applications
• Candidate Terms: Geospatial analysis
• Identifier Terms: National Bridge Inventory
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01690407
• Record Type: Publication
• Report/Paper Numbers: SPTC15.5-01-F
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Dec 31 2018 9:06AM