Use of Large Language Models to Improve Transportation Services

This project aims to leverage Large Language Models (LLMs) to enhance the analysis of public complaints and suggestions related to transportation systems. By processing feedback from multiple agencies, this study seeks to cluster and analyze common concerns, aiding agencies in aligning their services with public demands and safety needs. The project addresses equity, safety, and sustainability by identifying complaint patterns, especially in underserved areas, to inform responsive infrastructure policies. An open-source LLM model will be developed to safeguard privacy while enabling data-driven improvements in transportation services.

Language

  • English

Project

  • Status: Active
  • Contract Numbers:

    69A3552348303

  • Sponsor Organizations:

    Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

    Morgan State University
    Baltimore, MD  United States 

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

    Morgan State University
    Baltimore, MD  United States 
  • Performing Organizations:

    University of Pittsburgh

    Benedum Engineering Hall
    Pittsburgh, PA  United States  15261
  • Principal Investigators:

    Khazanovich, Lev

    Stevanovic, Aleksandar

  • Start Date: 20240901
  • Expected Completion Date: 20250901
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01935540
  • Record Type: Research project
  • Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
  • Contract Numbers: 69A3552348303
  • Files: UTC, RIP
  • Created Date: Oct 30 2024 2:52PM