Abstract
This paper mainly quantifies the safety effects of ramp spacing, and other geometric design elements of highway facilities. Negative Binomial (NB) regression models have been applied to estimate of different accident types, including total crashes, fatal-plus-injury crashes, single-vehicle crashes and multiple-vehicle crashes. Data for model estimation was collected in 112 freeway segments where each entrance ramp is followed by an exit ramp on I-5 in the Washington State, US. Three years (2005-2007) of freeway crashes has been examined by the NB model. The modeling results have been geared into the development of accident modification factors (AMFs) for ramp spacing that can be used safety prediction of freeways. Furthermore, the results also suggest some geometric designs are recommended to improve freeway safety
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