The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation - 2024 Updates

Details

• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration
• Contributors:
  Kuehn, David
• Corporate Contributors:
  United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center ; United States. Federal Highway Administration. Exploratory Advanced Research Program
• Subject/TRT Terms:
  • Machine learning
  • Artificial intelligence
  • Research projects
  • Federal aid highways
• Publication/ Report Number:
  FHWA-HRT-25-020
• DOI:
  https://doi.org/10.21949/1521537
• Resource Type:
  Tech Report
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Edition:
  Exploratory Advanced Research Program
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration
• Abstract:
  This report, The U.S. Department of Transportation (USDOT) has prioritized developing technologies that promote traffic safety and improve mobility for all travelers. Supporting that USDOT priority, the Exploratory Advanced Research (EAR) Program of the Federal Highway Administration (FHWA) explores the development of Artificial Intelligence (AI) and machine-learning technology within the surface transportation sector. By working with universities, private companies, and public entities conducting cutting-edge research in these fields, FHWA ultimately seeks to make surface transportation safer and more efficient.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/79060/dot_79060_DS1.pdf
• File Type:
  [PDF - 10.83 MB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:cf6a837aab4e4b91aaa32e204e3fe5f5b8ffa2e529610193fdfe9251a826c545287b042ccedd06b8bbdf6973f316c4096104242b9528ff2a0e7b04da87f4e423