Evaluation of interactive highway safety design model crash prediction tools for two-lane rural roads on Kansas Department of Transportation projects : [technical summary].

Details

• Creators:
  Lubliner, Howard ; Bornheimer, Cheryl ; Schrock, Steven ; Wang, Ming-Heng ; Fitzsimmons, Eric
• Corporate Creators:
  Kansas. Dept. of Transportation
• Subject/TRT Terms:
  • Rural highways
  • Highway safety
  • Traffic accidents
  • Mathematical prediction
  • Two lane highways
  • Accident risk forecasting
  • Geometric design
  • Geometric segments
• Publication/ Report Number:
  K-TRAN: KU-10-1R
• Resource Type:
  Tech Report
• Geographical Coverage:
  Kansas
• Corporate Publisher:
  Kansas. Dept. of Transportation
• Abstract:
  Historically, project-level decisions for the selection of highway features to promote safety were based on either engineering judgment or adherence to accepted national guidance. These tools have allowed highway designers to produce facilities that have demonstrated an improving safety record in recent decades. However, these tools do not allow for comparison of the safety performance of dissimilar facilities or roadway attributes. To address this gap, researchers have been working for decades to develop Crash Prediction Models (CPMs) that can estimate, and ideally predict the expected safety performance of a highway based on its geometric and traffic control features.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26742/dot_26742_DS1.pdf
• File Type:
  [PDF - 200.82 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:305ae2c446cc65de040136dcb2f02ea4647079e8e657926782b946c506091df1