Safety Analysis for SHIFT Implementation

Details

• Creators:
  Souleyrette, Reginald ; Tanzen, Riana ; Staats, William ; Green, Eric ; Chen, Mei
• Corporate Creators:
  University of Kentucky Transportation Center
• Corporate Contributors:
  Kentucky Transportation Cabinet
• Subject/TRT Terms:
  • Analysis
  • Safety
  • Transportation safety
  • Data analysis
  • Bayes' theorem
  • Manuals
  • Strategic Highway Investment Formula for Tomorrow (SHIFT)
  • Highway Safety Manual
  • Data driven safety analysis
  • Safety performance function
  More +
• Publication/ Report Number:
  KTC-19-23/PL31-1F
• DOI:
  https://doi.org/10.13023/ktc.rr.2019.23
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Year
• Corporate Publisher:
  University of Kentucky Transportation Center
• Abstract:
  The Strategic Highway Investment Formula for Tomorrow (SHIFT) program research team evaluated the program’s 2018 safety component and developed a new methodology to rank the safety needs of 2020 projects. For the current year, the research team suggests replacing the SHIFT 2018 formulas (based on three naive crash measures) with a new metric, Excess Expected Crashes, formulated from the most current safety analysis guidelines available in the Highway Safety Manual. In addition, the research team developed a user-friendly network screening tool serving as a method to prioritize projects. Another automation tool was developed that will help safety professionals evaluate and prioritize projects in an efficient manner, replacing the laborious manual calculation needed for each project. This report details the new methodology and tools.
• Format:
  PDF
• Funding:
  PL-31
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/58635/dot_58635_DS1.pdf
• File Type:
  [PDF - 1.04 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:74762ee7856e3f4abcc099ce3a295981977b46fceaad75917a284ff0553373e0