Research Article
Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots
Table 1
Summary statistics of characteristics for individual road segments in the Texas data for Periods 1 and 2.
| Variable | Period 1 (1997 and 1998) | Period 2 (1999–2001) | Min. | Max. | Mean (SD) | Min. | Max. | Mean (SD) |
| Number of crashes | 0 | 59 | 2.93 (4.81) | 0 | 78 | 4.58 (7.81) | Average daily traffic over the study period () | 40 | 24000 | 6391 (3835.01) | 43.33 | 25333.3 | 6761.8 (4149.84) | Lane width (LW) (ft) | 9.75 | 16.5 | 12.57 (1.59) | 9.75 | 16.5 | 12.57 (1.59) | Total shoulder width (SW) (ft) | 0 | 40 | 9.96 (8.02) | 0 | 40 | 9.96 (8.02) | Curve density (CD) | 0 | 18.07 | 1.43 (2.35) | 0 | 18.07 | 1.43 (2.35) | Segment length () (miles) | 0.1 | 6.28 | 0.55 (0.68) | 0.1 | 6.28 | 0.55 (0.68) |
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SD: standard deviation.
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