Primer for Using Generative AI Models in Transportation Planning

The objective of this research is to develop an initial framework for the use and application of generative ai models that will develop the following: define generative ai; describe potential uses, benefits, opportunities, and limitations; identify the types of data and data quality requirements needed; identify and prioritize the areas of transportation planning in which generative ai may have a greater impact; provide a basis for generative ai model verification and validation; identify risks and challenges, including, but not limited to, biases, equity and ethical considerations, interpretability, implementation, climate and sustainability, and transferability and scalability within and across dot divisions; provide recommendations for mitigating the identified risks and challenges; suggest strategies for workforce development, governance, and change management; and propose a practical methodology to evaluate the impact of the primer.

• Record URL:
  • http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5655
• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Funding: $500,000.00
• Contract Numbers:

  Project 08-187

• 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:

  Barcena, Roberto

• Start Date: 20250715
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Primers; State departments of transportation; Transportation planning
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01919145
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 08-187
• Files: TRB, RIP
• Created Date: May 20 2024 8:55PM