Utilizing LIDAR data to analyze access management criteria in Utah.

Details

• Creators:
  Schultz, Grant G. ; Seat, Marlee L. ; Saito, Mitsuru ; Clegg, Wyatt
• Corporate Creators:
  Brigham Young University. Dept. of Civil and Environmental Engineering
• Corporate Contributors:
  Utah. Dept. of Transportation. Research Division ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Access Control (Transportation) Driveways Laser Radar Medians Statistics
• Publication/ Report Number:
  UT-17.09
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Utah
• Corporate Publisher:
  Utah. Dept. of Transportation. Research Division
• Abstract:
  The primary objective of this research was to increase understanding of the safety impacts across the state related to access management. This was accomplished by using the Light Detection and Ranging (LiDAR) database to evaluate driveway spacing and locations to aid in hot spot identification and to develop relationships between access design and location as a function of safety and access category (AC). Utah Administrative Rule R930-6 contains access management guidelines that were used to find the maximum number of driveways recommended for a roadway. An analysis conducted in this study compared current roadway characteristics to the R930-6 guidelines to find locations where differences occurred.
  
  A hierarchal Bayesian statistical before-after model, created in previous BYU safety research, was used to analyze locations where raised medians have been installed. Twenty locations where raised medians were installed in Utah between 2002 to 2014 were used in this model. The model analyzed the raised medians by AC. Only three AC were represented in the data. Regression plots depicting a decrease in crashes before and after installation, posterior distribution plots showing the probability of a decrease in crashes after installation, and crash modification factor (CMF) plots presenting the CMF values estimated for different vehicle miles traveled (VMT) values were all created as output from the before-after model. Overall, installing a raised median reduces all crashes by 53 percent. Individual AC analysis yielded results ranging from 32 to 44 percent for all severity groups except severity 4 and 5. When the model was only run for crash severity 4 and 5, a larger reduction of 57 to 58 percent was found.
  
  
• Format:
  PDF
• Funding:
  16-8424
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:74fb7c2d8f1082b251d08b23c3c4fed741722265ec77a4e85d59551fdf004c9e
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32285/dot_32285_DS1.pdf
• File Type:
  [PDF - 4.70 MB ]