Optimized mobile retroreflectivity unit data processing algorithms : [project summary].

Details

• Creators:
  Fletcher, James H.
• 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:
  BDV34-977-03
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida ; United States
• Corporate Publisher:
  Florida Department of Transportation
• Abstract:
  Researchers examined both hardware and
  
  software components of the MRU to determine
  
  where improvements could be made. The MRU’s laser makes one-meter sweeps, which
  
  detect retroreflective striping and measure its reflectivity. The MRU also detects other
  
  reflective markings such as raised pavement markers, stop bars, etc. Using characteristics of
  
  the reflectance signals acquired by the MRU, the researchers developed a part of the FRS to
  
  distinguish striping signals from other signals. Improvements were made to the MRU power
  
  supply when it was found that the power supply was contributing to data inconsistency.
  
  Similarly, other hardware components of the MRU which were found to influence the accuracy
  
  and repeatability of measurements were corrected.
  
  With the ability to distinguish between striping and other roadway markings, the researchers
  
  examined striping data and methods of interpreting them. The reflectance signal generally
  
  mimics the profile of the striping, but the researchers found that in addition to variations in
  
  the reflectance signal due to the striping itself, there was also an effect based on how well the
  
  striping was centered in the one-meter laser path. Also, lane striping tended to be more worn
  
  on its median side, giving the reflectance signal a lopsided appearance. The FRS corrected for
  
  these effects and improved the accuracy and repeatability of basic MRU data collection. The
  
  FRS interface was also designed to facilitate operator learning and use, making control of MRU
  
  settings and data interpretation more straightforward.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:56700a032bfb0a1e78b678c3e0c51c112bc06b328b47a76f6909f1363ec1cc5c
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32427/dot_32427_DS1.pdf
• File Type:
  [PDF - 82.73 KB ]