• Title/Summary/Keyword: domestic circular intersections

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Accident Models of Circular Intersections by Weather Condition in Korea (기상상태에 따른 국내 원형교차로 사고모형)

  • Park, Byung Ho;Han, Su San
    • Journal of the Korean Society of Safety
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    • v.27 no.6
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    • pp.178-184
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    • 2012
  • This study deals with the traffic accidents by weather condition. The objectives are to comparatively analyze the characteristics, and to develop the models of traffic accidents by weather condition. In pursuing the above, this paper gives particular attentions to testing the differences between two groups, and developing the models(Poisson and negative binomial regression) using the data of domestic circular intersections. The main results are as follows. First, three Poisson models and one negative binomial models which were all statistically significant were developed using the number of accident and EPDO by the clear weather and other as the dependant variables. Second, the differences between two models were comparatively analyzed using the chosen variables. This paper might be expected to give some implications to traffic safety policy-making to reduce and prevent the traffic accidents in circular intersections.

Accident Models of Circular Intersections by Type in Korea (사고유형에 따른 원형교차로 사고모형)

  • Han, Su-San;Kim, Kyung-Hwan;Park, Byung-Ho
    • International Journal of Highway Engineering
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    • v.13 no.3
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    • pp.103-110
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    • 2011
  • This study deals with the traffic accidents by type. The objectives are to analyze the characteristics of 2 accident types, and to develop the models by type. In pursuing the above, this paper gives particular attentions to testing the differences between by type two groups, and developing the models (Poisson and negative binomial regressions) using the data of domestic circular intersections. The main results are as follows. First, the number of accidents in vehicle vehicle was analyzed to account for about 73.41% of total and to be higher than vehicle people. Second, two Poisson models and two negative binomial models which were all statistically significant were developed using vehicle people accidents and vehicle vehicle accidents as dependant variables. Finally, the traffic volume as common variable was selected in the models, and right-turn slip lane, speed hump, the number of driveways, the number of pedestrian crossings as specific variables of the models were selected.