Primer for Using Generative AI Models in Transportation Planning

Transportation planning plays a vital role in developing efficient and sustainable transportation systems to meet the evolving needs of communities. As technology advances, the field of transportation planning could benefit from the use of generative artificial intelligence (AI) models (e.g., ChatGPT, Gemini, Copilot, Jasper) to enhance decision-making processes. Generative AI models have the potential to significantly influence transportation planning by generating synthetic data, forecasting future scenarios, and optimizing decision-making. However, fundamental knowledge gaps and other challenges must be addressed before transportation planners can use and apply generative AI models for network- and project-level transportation planning activities. Research is needed to identify a process to support state departments of transportation (DOTs) in the use and application of generative AI models in transportation planning activities to realize their potential benefits. The objective of this project is to develop a primer for using generative AI models in transportation planning. The primer will advance the knowledge and understanding of the use of generative AI models in transportation planning.

• 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

• Status: Proposed
• Funding: $500,000
• 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: 20241223
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; 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