摘要: |
This research explored the use of count models to determine design and weather factors correlated with median crossover crashes on Washington State highways. The study (1) developed a roadside data system that can be consistently and systematically used in all six regions of Washington State; (2) developed a decision matrix comprising geometric, environmental, and traffic factors for estimating crossover probability ranges; and (3) examined the impacts of barriering. Longitudinal data for the period 1990 to 1994 containing crash information on vehicle crossovers on non-barriered medians on Washington State highways were used as the dataset for this study. Two types of statistical models were examined: (1) a model that forecasts the mean number of yearly median crossovers, and (2) a model that examines the contribution of roadway geometrics, median widths, weather, traffic volumes and roadside characteristics to the annual societal cost of median crossovers. |