Generative Artificial Intelligence (AI) Enabled Pilot for NOCoE Knowledge Center

The National Operations Center of Excellence (NOCoE) Knowledge Center is the centerpiece of NOCoE’s website. It houses over 2,300 resources on diverse topics of interest for the Transportation Systems Management and Operations (TSMO) practitioners, including case studies; research studies; and Federal Highway Administration (FHWA), state, and local agency resources. It also features search capabilities, including advanced search capabilities to facilitate users to quickly search and shortlist resources of interest. The Knowledge Center is the most accessed site for NOCoE. The innovation of Generative AI tools offers an opportunity in curating, synthesizing, and managing knowledge. It has a potential to leverage the NOCoE knowledge center resources to curate new knowledge, such as producing an initial draft of literature review, producing executive summaries, and responding to user prompts and questions to provide detailed insightful feedback from the library of existing resources. The Generative AI tools are poised to revolutionize knowledge management. For the NOCoE Knowledge Center users, such tools can reduce the time and effort required to search, process, and curate knowledge. For NOCoE staff it will reduce manual effort needed in scanning TSMO resources available through state and local agency websites. The objective of this research is to develop a concept and design of a generative AI enable knowledge management pilot for NOCoE’s Knowledge Center.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5653
• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Status: Proposed
• Funding: $450000
• Contract Numbers:

  Project 08-185

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Deng, Zuxuan

• Start Date: 20240520
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Knowledge management; Transportation operations; Transportation system management
• Subject Areas: Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01919139
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 08-185
• Files: TRB, RIP
• Created Date: May 20 2024 8:03PM