AI Integration and Workforce Transformation for State DOTs

Artificial intelligence (AI) technologies have already been implemented in many industries, including finance, healthcare, marketing, customer service, and manufacturing. AI is also making its way into the transportation sector, for instance, to provide safety warnings, monitor surrounding traffic conditions, and identify imminent collisions. In the traffic systems, management, and operations (TSMO) arena, AI is being used in traffic monitoring, real-time data analysis, bottleneck management, multimodal intelligent traffic signal systems, solutions based on predicted traffic flow, and emergency vehicle management. AI technologies are helping make roadway networks safer and more efficient. AI use will continue to expand in other transportation disciplines and modes of transportation. The transition toward wider use of AI in the transportation sector will have significant implications for the state and local department of transportation (DOT) workforce. Research is needed to help state DOTs and local transportation agencies evaluate workforce impacts and opportunities presented by AI. OBJECTIVE: The objective of the project is to develop a comprehensive guide to support state DOTs and local transportation agencies in successfully integrating AI and transforming their workforce.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5704
• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Funding: $500000
• Contract Numbers:

  Project 23-46

• 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: 20241119
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

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

Filing Info

• Accession Number: 01919238
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 23-46
• Files: TRB, RIP
• Created Date: May 21 2024 4:39PM