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Analysis of Speeding Characteristics Using Data from Red Light and Speed Enforcement Cameras
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 Title & Authors
Analysis of Speeding Characteristics Using Data from Red Light and Speed Enforcement Cameras
PARK, Jeong Soon; KIM, Joong Hyo; HYUN, Chul Seng; JOO, Doo Hwan;
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Speeding is an important factor in traffic safety. Speed not only affects crash severity, but is also related to the possibility of crash occurrence. This study presents results from an analysis of 27,968 speed violation cases collected from 36 red light and speed enforcement cameras at signalized intersections in the city of Cheongju. Data included details of their violation history such as speeding tickets within a recent 3-year span and their demographic characteristics. The goal of this analysis is to understand the correlation between speed violations and various factors in terms of humans, vehicles and road environments. This study used descriptive statistics and Binary Logistics Regression(BLR) analysis with SPSS 20.0 software. The major results of this study are as follows. First, speed violations occurred at rural and suburban area. Second, about 25.6% of the violators committed to more than 20km/h over a speed limit. Third, the difference between speed violators and normal drivers clearly appeared in location of intersection(urban/rural/suburban area), gender and age. Finally, a statistically significant model(Hosmer and Lemeshow test: 11.586, p-value: 0.171) was developed through the BLR.
binary logistic regression(BLR);red light and speed enforcement camera;signalized Intersection;traffic safety;
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