Artificial Intelligence and Its Role and Use Within State DOTs [Technical Summary]

Details

• Creators:
  Egge, Mark ; Rupnow, Tyson
• Corporate Creators:
  Louisiana Transportation Research Center
• Corporate Contributors:
  Southeast Transportation Consortium ; Louisiana. Department of Transportation and Development
• Subject/TRT Terms:
  • Artificial intelligence
  • Machine learning
  • Decision making
  • Technology
  • Data collection
  • State departments of transportation
  • Workforce
  • Procurement
  • Literature reviews
• Publication/ Report Number:
  25-1PF ; 722
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Technical Summary
• Corporate Publisher:
  Louisiana Transportation Research Center
• Abstract:
  The research team planned and executed this project in two phases. The project began with foundational research and a literature review, during which the team compiled a broad catalog of practical AI applications. A practitioner-focused phase followed, drawing out real-world insights related to AI policy and implementation. The research team implemented a targeted approach focused on cataloging real-world AI applications that state DOTs and other public-sector transportation agencies use in practice. The team organized the literature review by agency function, emphasizing traffic operations, roadway maintenance, and engineering applications. The project report is organized into three sections: AI Policy Environment, Use Case Catalog, and Implementation Guidance.
• Format:
  PDF
• Funding:
  DOTLT1000561
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88883/dot_88883_DS1.pdf
• File Type:
  [PDF - 247.48 KB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:057d826a22e9e6bf45e1337e9cb707f590adcf976ffafae377daf0fba2ff63cb35e3c3914c0737214aa1a41202bd5bc960c33416f4a905fcc52ffdb71ffa562d