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From page 73... ...
71 Chapter 7. Reliability Associated with Predicting Outside the Range of Independent Variables: Problem Description and Procedure for Practitioners Background Crash prediction models (CPMs)
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72 discussion of the functional form of CPMs and SPFs, since they influence the guidance that is provided in the subsequent sections. Functional Form of CPMs and SPFs When CPMs are used to predict the number of crashes at sites whose site characteristics (especially, AADT)
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73 Where πΆππΉ , βππβ π‘ππππππ π£πππ’ππ ππππ β πππππππππ‘πππ ππππ‘ππ πππ ππ’ππ‘ππ£πβππππ ππππ βππ π , βππβ π‘ππππππ π£πππ’ππ ππππππππ‘πππ πππππππππππ‘ πππ ππ’ππ‘ππ£πβππππ ππππ βππ π_βπ£ πππππππ‘πππ ππ π΄π΄π·π ππ’ππππ βππ’ππ π€βπππ π£πππ’ππ ππ₯πππππ 1,000 π£πβ/βππ’π /ππππ For single-vehicle crashes: Equation 64 πΆππΉ , π , Where πΆππΉ , βππβ π‘ππππππ π£πππ’ππ ππππ β πππππππππ‘πππ ππππ‘ππ πππ π πππππ π£πβππππ ππππ βππ π , βππβ π‘ππππππ π£πππ’ππ ππππππππ‘πππ πππππππππππ‘ πππ π πππππ π£πβππππ ππππ βππ The next section provides an overview of the goodness-of-fit measures that can be used assess the performance of different calibration and re-estimation options for predicting outside the range of independent variables. Following that is a discussion of different options illustrated using HSIS data from California freeways from 2005 to 2014.
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74 Equation 65 ππ΄π· β |π¦ π¦ |π where: π¦ = predicted values from the SPF. π¦ = observed counts.
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75 Equation 68 πΆπ π CC Where: CV = coefficient of variation of the calibration factor. C = estimate of the calibration factor.
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76 The following five options were examined: ο· Option 1: Perform calibration ο· Option 2: Adjust parameter/coefficient for AADT and perform calibration ο· Option 3: Estimate calibration function or SPF by modifying the coefficient for AADT and perform calibration ο· Option 4: Estimate calibration function or SPF and perform calibration ο· Option 5: Estimate calibration function or SPF with different parameters for AADT and the other factors, and perform calibration Some of these options (e.g., Options 1 and 2) would be easier for practitioners to apply.
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77 Equation 71 π πΆπΉ π Β Option 4: Estimate calibration function or SPF and perform calibration This option also involves the estimation of a calibration function, but unlike Option 3, the coefficient for all the terms in the SPF/CPM are estimated. If the NSPF includes CMFs (also called SPF adjustment factors)
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78 Figure 14. For Option 2, a few values on the change AADT parameter were investigated, and the best one was used to compare with the other options.
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79 Table 32. Testing Results for Multi-Vehicle Crashes (Rural 4-lane flat terrain freeways)
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80 Β Β Β Β Figure 10. CURE Plots for MV Crashes - Option 1 Β Β
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81 Figure 11. CURE Plots for MV Crashes - Option 2Β
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82 Β Figure 12. CURE Plots for MV Crashes - Option 3Β Β Β
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83 Figure 13. CURE Plots for MV Crashes - Option 4
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84 Figure 14. CURE Plots for MV Crashes - Option 5Β
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85 Single-Vehicle Crashes The evaluation results for single-vehicle crashes are shown in Table 33. Overall, Option 5 has very good performance, and Option 1, Option 3, and Option 4, have comparable results and are good candidates for the second-best performance.
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86 Total Crashes (TOT) The results for total crashes are shown in Table 34.
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87 These results indicate that Option 5 generally performs the best, while Option 1 has the worst performance based on all criteria except MAD and Modified R2. Generally, Option 2 performs reasonably well compared to Option 1.
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