Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials (2022) / Chapter Skim
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Pages 58-87
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58 CHAPTER 4. DEVELOPMENT OF PROJECT DATABASE This chapter describes the development of the databases used for calibration of the safety prediction models in this project.
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59 Google Earth historical imagery was reviewed for every roadway segment and intersection in the database to ensure no construction activity occurred during the study periods. Roadway segments and intersections with a history of any significant construction or major change in the main site characteristics were discarded and not included in the final database.
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60 Table 22. Distribution of roadway segment data by segment type and state.
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61 Table 23. Distribution of intersection data by intersection type and state.
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62 Table 24. List of data variables collected for roadway segments.
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63 Table 24. List of data variables collected for roadway segments.
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64 Table 25. Descriptive statistics for two-way roadway segment variables.
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65 Table 25. Descriptive statistics for two-way roadway segment variables.
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66 Table 26. Descriptive statistics for one-way roadway segment variables.
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67 Table 26. Descriptive statistics for one-way roadway segment variables.
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68 Site Characteristics Data for Intersections An intersection database was created with intersections of six-or-more-lane arterials and oneway streets for which traffic volume data were available for both intersecting streets. In Illinois, California, and Michigan, the state database was the sole source for traffic volumes, and as such, only the intersections of two state-owned highways were included in the calibration dataset.
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69 Table 28. List of data variables collected for individual streets (major and minor)
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70 Table 29. Descriptive statistics for continuous variables for 2×2 intersections.
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71 Table 30. Breakdown of the number of 2×2 intersections by categorical variables -- data variables for intersection as a whole.
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72 Table 32. Breakdown of the number of 2×2 intersections by categorical variables -- minor-street data variables.
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73 Table 33. Descriptive statistics for continuous variables for 1×2 intersections.
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74 Table 34. Breakdown of the number of 1×2 intersections by categorical variables -- data variables for intersection as a whole or for one-way street data variables.
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75 Table 35. Breakdown of the number of 1×2 intersections by categorical variables -- two-way street data variables.
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76 Table 36. Descriptive statistics for continuous variables for 1×1 intersections.
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77 Table 37. Breakdown of the number of 1×1 intersections by categorical variables -- data variables for intersection as a whole or major-street data variables.
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78 Table 38. Breakdown of the number of 1×1 intersections by categorical variables -- minor-street data variables.
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79 • The crash occurred within the curb limits of the intersection. • The crash occurred within 250 ft of the center of the intersection and was coded as intersection-related.
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80 Table 39. Summary of crash frequency and exposure data for roadway segments.
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81 Table 40. Summary of crash type data for roadway segments.
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82 Table 41. Summary of crash frequency and exposure data for intersections -- Texas and Illinois.
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83 Table 42. Summary of crash frequency and exposure data for intersections -- California and Michigan.
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84 Table 43. Summary of crash type data for intersection -- Texas and Illinois.
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85 Table 44. Summary of crash type data for intersection -- California and Michigan.
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86 Table 45. Sample size based on intersection type and location.
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87 Table 46. Descriptive statistics for collected data at signalized intersections in California and San Antonio, Texas.
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