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Pages 81-92

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From page 81...
... 81   Introduction Chapters in HSM Part C provided CPMs for rural two-lane roads, rural multilane roads, and urban and suburban arterials. The supplement chapters (Chapters 18 and 19)
From page 82...
... 82 Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results The procedure comprises four or five main steps: Step 1. Define the application facility type.
From page 83...
... Reliability Associated with Crash Prediction Models Estimated for Other Facility Types 83   Step 4A-3. Calculate calibration factor using the following equation: ∑ ∑ =C observed crashes predicted crashes all sites all sites Step 4A-4.
From page 84...
... 84 Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results This Case B is similar to Scenario 5: Predicting outside the range of independent variables (with focus on AADT)
From page 85...
... Reliability Associated with Crash Prediction Models Estimated for Other Facility Types 85   Srinivasan et al. provide guidance on using readily available tools, such as Excel, to estimate calibration functions.
From page 86...
... 86 Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results Srinivasan et al. provide guidance on using readily available tools, such as Excel, to estimate calibration functions.
From page 87...
... Reliability Associated with Crash Prediction Models Estimated for Other Facility Types 87   Step 5, Case C Method 2 Estimate a combined CPM for the calibrated CPMs from the application group.
From page 88...
... 88 Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results Step 2. Identify Estimation Facility Type(s)
From page 89...
... Variable (estimation group) Data 1a: Urban 6-lane, flat terrain for CPM development (437 segments)
From page 90...
... Variable (estimation group) Data 2a: Rural 4-lane, rolling terrain, for CPM development (421 segments)
From page 91...
... Reliability Associated with Crash Prediction Models Estimated for Other Facility Types 91   GOF measure results for Group 1 through Group 4, are listed in Table 31 through Table 34. For Group 1 (Table 31)
From page 92...
... 92 Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results * Facility 2a: California rural 4-lane, rolling terrain highway; Facility 2b: California urban 6-lane, rolling terrain highway.

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