HIMA F8627X communication module coprocessor module
Technical data of product parameters
Following is a brief overview of different types of observational before-after and observational crosssectional study designs and the potential issues associated with such study designs. It is important to
reiterate that the scope of this discussion is limited to studies that make use of crash data to derive
HIMA F8627X rather than studies that use surrogate measures.Cross-Sectional Studies
As discussed above, CMFs from cross-sectional studies are developed by comparing the safety of a
group of sites with a feature with the safety of a group of sites without that feature. TheHIMA F8627Xcan be
derived by taking the ratio of the average crash frequency of sites with the feature to the average crash
frequency of sites without the feature. For this method to work, the two groups of sites should be
similar in their characteristics except for the feature. In practice, this is difficult to accomplish and
multiple variable regression models are used. These cross-sectional models are also called safety
performance functionsHIMA F8627X or crash prediction modelsHIMA F8627X that relate crash frequency with site characteristics. The coefficients of the variables from
these equations are used to estimate the CMF associated with a treatment. If the model form is loglinear (most common form), then the CMF can be obtained by taking the exponent HIMA F8627X Report – Recommended Protocols for Developing Crash Modification Factors 14
Following is an example of an SPF for non-intersection crashes on rural two-lane roads developed by
Vogt and Bared (1998) using data from Washington and Minnesota. This model was estimated based on
detailed information on the location of horizontal and vertical curves within each section.
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