;Contents: Foreword; Describing the Evolution in the Number of Highway Deaths by Decomposition in Exposure, Accident Risk, and Fatality Risk; Comparison of Two Negative Binomial Regression Techniques in Developing Accident Prediction Models; Use of Propensity Score Matching Method and Hybrid Bayesian Method to Estimate Crash Modification Factors of Signal Installation Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity; Effects of Sample Size for Goodness-of-Fit Statistic and Confidence Intervals of Crash Prediction Models Subjected to Low Sample Mean Values; Using the Rural Two-Lane Highway Draft Prototype Chapter; Application of Highway Safety Manual Draft Chapter: Louisiana Experience; Refinement of Accident Prediction Models for Spanish National Network; Using Macro level Collision Prediction Models in Road Safety Planning Applications; and Calibration of Safety Prediction Models and Planning Transportation Networks.
Statistical Methods and Crash Prediction Modeling
2006
100 pages
Report
Keine Angabe
Englisch
Transportation Safety , Road Transportation , Transportation & Traffic Planning , Transportation , Transportation models , Highway safety , Traffic accidents , Statistical analysis , Accident location , Motor vehicle accidents , Fatalities , Risk , Regression analysis , Traffic signals , Injuries , Case studies , Highways , Rural areas , Transportation planning , Accident prevention , Networks , Human factors engineering , Accident rates
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