A Hierarchical Bayesian Method for Evaluating Efficacy of Traffic Accident Remediation

Authors

Andrew Olsen, Brigham Young University
Dr. C. Shane Reese, Brigham Young University

Keywords

hierarchical Bayesian method, traffic accident remediation

College

Physical and Mathematical Sciences

Department

Statistics

Abstract

Thousands of people die in automobile crashes each year. Departments of Transportation are working continuously to reduce the number of fatalities through highway safety projects. One of their critical tasks is to evaluate the efficacy of these projects. We have developed a Bayesian hierarchical Poisson regression model that the Utah Department of Transportation may use to evaluate its traffic-accident intervention. The use of this method is illustrated with severe crashes on a raised median on University Parkway from mile 1.20 to mile 1.96.

Recommended Citation

Olsen, Andrew and Reese, Dr. C. Shane (2013) "A Hierarchical Bayesian Method for Evaluating Efficacy of Traffic Accident Remediation," Journal of Undergraduate Research: Vol. 2013: Iss. 1, Article 2815.
Available at: https://scholarsarchive.byu.edu/jur/vol2013/iss1/2815