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Red Light Violations Analysis Using Statistical Methods - in case of Chungbuk 4-Legged Signalized Intersections -  

Park, Jeong-Soon (도로교통공단 충북지부)
Kim, Yun-Hwan (충북도청 교통주무관)
Jung, Woo-Teak (도로교통공단 사고조사처)
Publication Information
International Journal of Highway Engineering / v.12, no.3, 2010 , pp. 49-57 More about this Journal
Abstract
This case study investigated red light violations at CBD, suburban and rural signalized intersections in chungbuk. The goal of this study is to understanding the collection between red light violations and various driver, vehicles and environmental factors. This study uses descriptive statistics analysis and logistics analysis with SPSS 12.0 software. The major results of this study are as follows. First, red light violations occurred at rural and CBD more than suburban area. Second, About 81.1% of the violators were traveling at or below the posted speed limit. Moreover, 77.3% of the violations occurred within 2 seconds after the on set of red light. Finally, the logistic regression model, which is statistically significant(chisquare=0.000, McFadde=0.265)was developed, and includes the local type(CBD/suburban/rural), violators' gender, season, vehicle type, time of day, vehicle speed as the independent variables. In this study did not find significant relationship between red light violators' age and their driving behavior approaching signalized intersections.
Keywords
red light violation; red light camera; CBD/suburban/rural; posted speed limit; signalized intersection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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