01030706

Monograph

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.

English

99p

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099595

Print

Figures; References; Tables

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

Highway Safety Manual

Decomposition (Mathematics); Negative binomial regression; Sample size

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I81: Accident Statistics

TRIS, TRB, ATRI

Aug 10 2006 10:58AM

• Application of "Highway Safety Manual" Draft Chapter: Louisiana Experience
• Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity
• Calibration of Safety Prediction Models for Planning Transportation Networks
• Comparison of Two Negative Binomial Regression Techniques in Developing Accident Prediction Models
• Describing the Evolution in the Number of Highway Deaths by Decomposition in Exposure, Accident Risk, and Fatality Risk
• Effects of Sample Size on Goodness-of-Fit Statistic and Confidence Intervals of Crash Prediction Models Subjected to Low Sample Mean Values
• Refinement of Accident Prediction Models for Spanish National Network
• Use of Propensity Score Matching Method and Hybrid Bayesian Method to Estimate Crash Modification Factors of Signal Installation
• Using Macrolevel Collision Prediction Models in Road Safety Planning Applications
• Using the Rural Two-Lane Highway Draft Prototype Chapter