Abstract
This paper presents the development of safety performance functions (SPFs) for light rail crossings or roadways. The paper also develops an empirical Bayes method for adjusting the initial crash estimates from the SPF to account for the actual crash experiences at light rail crossings. The validity of the light rail crossing SPFs is compared with that of the U.S. Department of Transportation (DOT) crash prediction models. It is found that SPFs specific to light rail crossings provide improvements to crash estimates that are statistically significant compared with that of the U.S. DOT crash prediction models.
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