Quantifying uncertainty in real time performance measurement for highway winter maintenance operations - phase 2 : [tech transfer summary].

Details

• Creators:
  Zhu, Zhengyuan ; Kaiser, Mark
• Corporate Creators:
  Iowa State University. Institute for Transportation
• Corporate Contributors:
  United States. Federal Highway Administration ; Iowa. Dept. of Transportation
• Subject/TRT Terms:
  • Winter maintenance
  • Real time information
  • Performance measurement
  • Traffic speed
  • Traffic flow
  • Weather conditions
  • Mathematical prediction
• Publication/ Report Number:
  InTrans Project 13-388
• Resource Type:
  Brief
• Geographical Coverage:
  Iowa
• Corporate Publisher:
  Iowa State University. Institute for Transportation
• Abstract:
  Winter weather in Iowa is often unpredictable and can have a large ; impact on traffic flow. The Iowa Department of Transportation (DOT) ; attempts to lessen the impact of winter weather events on traffic speeds ; with various maintenance operations. ; To assess the performance of these maintenance operations, it is ; necessary to come up with a model for expected speed reduction based ; on different winter weather variables and normal maintenance schedules. ; Such a model would allow the Iowa DOT to identify situations where ; speed reductions were much greater than they should have been for a ; given set of storm conditions.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28186/dot_28186_DS1.pdf
• File Type:
  [PDF - 105.04 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:cdf9f1bfcb7660606b3462f0a863d333ba3775ad103b9ce65042a2ccc9105fb5