Skip to main content

Currently Skimming:


Pages 88-109

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 88...
... 88 CHAPTER 5. PREDICTIVE MODELS FOR URBAN AND SUBURBAN ROADWAY SEGMENTS WITH SIX OR MORE LANES This chapter describes the activities undertaken to calibrate safety predictive models for urban and suburban roadway segments with six or more lanes.
From page 89...
... 89 Figure 14. Definition of roadway segments and intersections (AASHTO, 2010)
From page 90...
... 90 have been applied to highway crash data, they have (a) an inherent tendency to over-fit the data, (b)
From page 91...
... 91 Table 47. Variables acquired from state databases for six-or-more-lane arterials.
From page 92...
... 92 Table 48. Supplemental data collected for six-or-more-lane arterials.
From page 94...
... 94 𝐼 = median barrier presence indicator variable (= 1.0 if present, 0.0 if absent)
From page 95...
... 95 Table 49. Calibrated coefficients for FI crashes on six-or-more-lane arterials.
From page 96...
... 96 Table 50. Calibrated coefficients for PDO crashes on six-or-more-lane arterials.
From page 97...
... 97 The mixed nonlinear regression procedure (NLMIXED) in the Statistical Analysis System (SAS)
From page 98...
... 98 Figure 17 and Figure 18 show the relationship between the number of PDO crashes and traffic flow for six or more lanes for multi-vehicle and single-vehicle crashes, respectively. Figure 17 shows that eight-lane divided facilities experience more multi-vehicle PDO crashes than do sixlane undivided and divided facilities.
From page 99...
... 99 The proportions in Table 51 are used to separate multiple-vehicle crashes into components by collision type for arterials with six or more lanes. Table 51.
From page 100...
... 100 The pedestrian crash adjustment factor is estimated by dividing the vehicle-pedestrian crashes by the total segment crashes (excluding vehicle-pedestrian and vehicle-bicycle collisions) for each segment type.
From page 101...
... 101 𝑁 = predicted average crash frequency of an individual intersection (excluding vehicle-pedestrian and vehicle-bicycle collisions)
From page 102...
... 102 found in the literature are typically derived from (and applied to) the combination of multiplevehicle and single-vehicle crashes.
From page 103...
... 103 Outside Shoulder Width CMF The outside shoulder width CMF is described using Equation 161.
From page 104...
... 104 CMF proposed in this research is compared with the CMF in HSM Chapter 12 and CMFs developed by other researchers in Figure 21. The HSM Chapter 12 CMF applies only to traversable medians without traffic barriers, not including TWLTLs.
From page 105...
... 105 Figure 22. Median barrier CMF for multiple-vehicle crashes, six-or-more-lane arterials.
From page 106...
... 106 Figure 23. Median barrier CMF for single-vehicle crashes, six-or-more-lane arterials.
From page 107...
... 107 Driveway CMF The driveway CMF is applicable to multiple-vehicle crashes only. Major commercial, major industrial, and minor driveways are found to be significant in influencing crashes.
From page 108...
... 108 The base condition for the minor driveway CMF is 10 driveways per mile. The change in CMF with the increase in the driveways is shown in Figure 26.
From page 109...
... 109 Table 56. Roadside fixed-object CMF, six-or-more-lane arterials.

Key Terms



This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.