Using Artificial Intelligence to Evaluate Pavement Condition and Safety [Fact Sheet]

Details

• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration
• Corporate Contributors:
  United States. Federal Highway Administration. Exploratory Advanced Research Program
• Subject/TRT Terms:
  Artificial Intelligence Condition Surveys Data Collection Highway Safety
• Publication/ Report Number:
  FHWA-HRT-24-058
• Resource Type:
  Brief
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration
• Abstract:
  This fact sheet highlights the project sponsored by Exploratory Advanced Research (EAR), that seeks to wants to enhance automation of pavement information collection for use in pavement condition safety and evaluation at highway speed. Through this project, titled Artificial Intelligence Approaches to Multi-Object Evaluations of Pavement for Condition and Safety, Oklahoma State University (OSU) researchers are developing novel approaches to pavement engineering while increasing safety.
• Format:
  PDF
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:b7e3966064b73ea13ee8be3493655e7edd8f5b657224f3fbf3e31cbeff3bc3c3e4bdfebae1d49d8d0195588891d0351d694d8d80426084f87765f84d63fb2fd8
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77582/dot_77582_DS1.pdf
• File Type:
  [PDF - 1.10 MB ]