Local data will help Michigan make better safety investment decisions : research spotlight.

Details

• Alternative Title:
  Research spotlight.
• Corporate Creators:
  Michigan. Dept. of Transportation. Research Administration
• Subject/TRT Terms:
  • Traffic safety
  • Investments
  • Information processing
  • Traffic models
  • Traffic crashes
  • Traffic volume
  • Software
  • Urban areas
  • Safety performance functions
• Publication/ Report Number:
  RC-1628 ; RC-1639
• Resource Type:
  Tech Report
• Geographical Coverage:
  Michigan
• Corporate Publisher:
  Michigan. Dept. of Transportation. Bureau of Field Services
• Abstract:
  MDOT staff are aiming to use data-driven processes and practices from the AASHTO Highway Safety Manual (HSM) to estimate the safety impacts of various crash reduction strategies and highway design alternatives, such as adding a median or varying the widths of lanes or shoulders. While these models, also known as safety performance functions (SPFs), are useful, the HSM recommends that transportation agencies improve them by either calibrating the SPFs for local conditions or recalculating them using local data. This Spotlight describes two MDOT research projects undertaken to generate SPFs for urban roads in Michigan.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31832/dot_31832_DS1.pdf
• File Type:
  [PDF - 496.71 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:4bd4cbbf83d1dbf89faba2921a1d4836054cb0681d9a3cd49fb9aa1d796b35b9