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title: National Research Council; Transportation Research Board; Statistical methods and crash prediction modeling
Statistical Methods and Crash Prediction Modeling
Calibration of Safety Prediction Models for Planning Transportation Networks
Using Technology To Help Overcome Institutional Obstacles to Improved Crash Records Processing
Refinement of Accident Prediction Models for Spanish National Network
Interstate Highway Crash Injuries During Winter Snow and Nonsnow Events
Using Macrolevel Collision Prediction Models in Road Safety Planning Applications
Comparison of Two Negative Binomial Regression Techniques in Developing Accident Prediction Models
Evaluation of Inexpensive Global Positioning System Units to Improve Crash Location Data
Geographic Information System Platform for Road Accident Risk Modeling
Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data
Analytical Modeling of Driver-Guidance Schemes with Flow Variability Considerations
Prediction of Risk of Wet-Pavement Accidents: Fuzzy Logic Model
Computing and Interpreting Accident Rates for Vehicle Types or Driver Groups
Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity