Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations

Details

• Creators:
  Gettman, Douglas
• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration. Office of Operations
• Contributors:
  Chu, Jimmy
• Corporate Contributors:
  Kimley-Horn and Associates, Inc.
• Subject/TRT Terms:
  • Artificial intelligence
  • Transportation system management
  • Transportation operations
  • Machine learning
  • Neural networks
  • Artificial Intelligence
  • Machine Learning
  • Transportation System Management and Operations
  • Neural Networks
  • Fuzzy Logic
  More +
• Publication/ Report Number:
  FHWA-HOP-19-052
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Contracting Officer:
  Chu, Jimmy
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration. Office of Operations
• Abstract:
  This report introduces the fundamentals of Artificial Intelligence (AI) technologies and potential areas of AI applications in Transportation Management Center (TMC) operations; documents successful AI applications and lessons learned in TMC operations; showcases TMCs using AI to improve their operations; and identifies needs for future studies on this topic. The report provides guidance to assist transportation agencies with better preparation for the potential impacts of AI on operational activities, resources, system needs, and decisionmaking.
• Content Notes:
  FHWA Task Order Contracting Officer's Representative (TOCOR): Jimmy Chu
• Format:
  PDF
• Funding:
  DTFH61-16-D-00051
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/44201/dot_44201_DS1.pdf
• File Type:
  [PDF - 2.06 MB]
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:986665d595b83364a2ee2047fdd0fd8ca6a151026f7842f3df4736d8dde721d902ae28ec3e4752e21d329007f65beb982f03b45aab3da7d52260b4ade43588ce