Advancing TSMO Knowledge Management with Generative AI

The innovation of generative artificial intelligence (gen AI) tools offers new opportunities in curating, synthesizing, managing, and transferring knowledge. Gen AI tools have potential for leveraging state departments of transportation’s (DOTs) resources to assist with tasks such as producing an initial draft of a literature review, generating executive summaries, and responding to user prompts and questions with detailed insightful feedback from the library of existing resources. Gen AI tools are poised to revolutionize accessing knowledge by reducing the time and effort for retrieving relevant information, using and synthesizing information, enhancing decision-making, facilitating best practice exchange, and providing engaging personalized user experiences.  As DOTs' interest in adopting gen AI tools for knowledge management grows, research is needed to create suitable knowledge management gen AI tools for transportation agencies.   The objective of this research is to explore gen AI's potential for enhancing knowledge management at transportation agencies by (1) developing a scalable framework to use gen AI tools for improved knowledge management, (2) designing a trustworthy human-AI collaboration prototype that leverages DOTs' resources to address common transportation systems management and operations (TSMO) scenarios within the established framework, and (3) implementing a pilot deploying the identified prototype to demonstrate its efficiency and effectiveness. 

• 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: $450,000
• 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: 20241223
• 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