Development of Cost-Effective Sensing Systems and Analytics (CeSSA) to Monitor Roadway Conditions and Mobility Safety [Research Brief]

Details

• Creators:
  Ho, Chun-Hsing
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California ; Northern Arizona University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Condition surveys
  • Data collection
  • Machine learning
  • Pavement maintenance
  • Sensors
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Brief
• Corporate Publisher:
  METRANS Transportation Center (Calif.)
• Abstract:
  The objectives of the project are to (1) determine promising computing models for prediction of pavement distresses (2) evaluate the promising/optimum placements/locations of sensor loggers within a vehicle, and (3) provide an affordable method that will benefit state, city, county governments, as well as local communities who have an immediate need but with limited budgets to evaluate the road quality and prioritize repair needs.
• Format:
  PDF
• Funding:
  69A3551747109
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/67964/dot_67964_DS1.pdf
• File Type:
  [PDF - 1.24 MB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:017fb02e7f2f4a13244e78cdeb0d82a2f857dd84e1f037ec6aee1d48858ee76917d2034bf5c296168aa74d7cf4af81f797482773d87c495c353694fac04938a0