Statistical Methods and Crash Prediction Modeling

This Transportation Research Record contains 10 papers on the subject of statistical methods and crash prediction modeling. Specific topics discussed include using decomposition in exposure, accident risk, and fatality risk to describe the evolution in the number of highway deaths; negative binomial regression techniques in developing accident prediction models; estimating crash modification factors of signal installation; models of injury count by severity; effects of sample size on goodness-of-fit statistic and confidence intervals of crash prediction models; the draft prototype chapter for rural two-lane highways of the "Highway Safety Manual"; refinement of accident prediction models; using macrolevel collision prediction models in road safety planning; and calibration of safety prediction models for planning transportation networks.

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• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0309099595
• Publication Date: 2006

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: 99p
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 1950
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Calibration; Confidence intervals; Crash exposure; Crash modification factors; Crash risk forecasting; Fatalities; Goodness of fit; Highway safety; Injury severity; Planning; Rural highways; Statistical analysis; Traffic signals; Two lane highways
• Identifier Terms: Highway Safety Manual
• Uncontrolled Terms: Decomposition (Mathematics); Negative binomial regression; Sample size
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 01030706
• Record Type: Publication
• ISBN: 0309099595
• Files: TRIS, TRB, ATRI
• Created Date: Aug 10 2006 3:33PM