Optimized mobile retroreflectivity unit data processing algorithms.

Details

• Creators:
  Colson, Fenner ; Sevearance, Joshua ; Fletcher, James H.
• Corporate Creators:
  University of North Florida
• Corporate Contributors:
  Florida. Department of Transportation
• Subject/TRT Terms:
  Algorithm Algorithms Information Processing Interference Filters Laser Measurement Mobile Retroreflectivity Unit Optimization Raised Pavement Markers Raised Road Markings Reflectorized Road Markings Repeatability Retroreflectivity

  More +
• Publication/ Report Number:
  BDV 34 TWO# 977-03
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida ; United States
• Corporate Publisher:
  Florida Department of Transportation
• Abstract:
  The University of North Florida, in collaboration with the FDOT, was tasked to establish precise line-stripe evaluation methods using the Mobile Retroreflectivity Unit (MRU). Initial implementation of the manufacturer’s software resulted in measurements with inferior repeatability, where this loss in data quality was attributed to external factors, specifically raised pavement markers and discontinuous line striping. Mitigation of these on-road inputs was successfully completed ensuring quality MRU measurements of pavement marking reflectivity. New data processing algorithms were developed, tested, and optimized as part of the ongoing effort to mitigate on-road inputs and raise MRU performance standards.
• Format:
  PDF
• Funding:
  BDV 34 TWO# 977-03
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:80fadc8db104ea29748079359ae67f05dbbf683dbbb682f5dde15e20d6c81552
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32426/dot_32426_DS1.pdf
• File Type:
  [PDF - 1.54 MB ]