Woodward 8200-1302 digital governor

Woodward 8200-1302 digital governor

Technical data of product parameters

dentify a reference group of sites without the treatment, but similar to the treatment sites in
terms of the major factors that affect crash risk including traffic volume and other site
characteristics.
2. Using data from the reference site, estimate safety performance functions Woodward 8200-1302using data
from the reference sites relating crashes to independent variables such as traffic volume and
other site characteristics. As discussed earlier, since SPFs are cross-sectional models, it is
important to address the issues associated with confounding. As discussed in the following
steps, SPFs are used in the EB method to predict the average number of crashes based on Woodward 8200-1302
and site characteristics. By selecting the reference group to be similar to the treatment group in
terms of the major risk factors, we can reduce the possible bias due to confounding on theseWoodward 8200-1302
predictions.
3. In estimating SPFs, calibrate annual SPF multipliers to account for the temporal effects (e.g.,
variation in weather, demography, and crash reporting) on safety. The annual SPF multiplier is
the ratio of the observed crashes to the predicted crashes from the SPF. In using the annual Woodward 8200-1302
multipliers from the SPFs to account for temporal effects, it is assumed that the trends in the
crash counts are similar in the treatment and reference groups. As mentioned earlier, Hauer
(1997) proposes a test that makes use of a sequence of sample odds ratios to determine if theWoodward 8200-1302
trends in the two groups are similar.
4. Use the Woodward 8200-1302, annual SPF multipliers, and data on traffic volumes for each year in the before
period for each treatment site to estimate the number of crashes that would be expected for
the before period in each site.
5. Calculate the EB estimate of the expected crashes in the before period at each treatment site as
the weighted sum of the actual crashes in the before period and predicted crashes from step 4.
NCHRP 20-7(314) Final Report – Recommended Protocols for Developing Crash Modification Factors

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