This study deals with the traffic accident at the ramps of trumpet interchange. The purpose of the study is to analyze the relations between the ramp alignments and traffic accidents. In pursuing the above, 142 trumpet interchange (AO, AU, BO and BU) are classified into different type; a characteris...
This study deals with the traffic accident at the ramps of trumpet interchange. The purpose of the study is to analyze the relations between the ramp alignments and traffic accidents. In pursuing the above, 142 trumpet interchange (AO, AU, BO and BU) are classified into different type; a characteristic data of ramp alignments are investigated; the expressway traffic accident records(the 720 case of traffic accidents from September 1, 1998. to December 31, 2003) are collected; and the data of expressway traffic volume are calculated(the average annual daily traffic of each ramp is calculated by the expressway origin destination survey). Based on the above research materials, this paper analyzes the relations between the ramp alignments and traffic accidents by hypothesis tests and develops the traffic accident forecasting model in the case of trumpet interchange. To do this works, this study builds and tests the nine null hypotheses. First, the null hypothesis tests show that the accident number and accident rate of turning direction are rejected in 90% and 95% significant level, respectively. Also the null hypothesis tests show that the combination of turning direction-grade and turning direction-radius are all rejected in 95% significant level. Second, the null hypothesis tests on the S-type ramps and the radius() show that the accident number and rate are not rejected in significant level. However the null hypothesis tests on the radius() and the radius differences( and ) show that the accident number and rate are all rejected in significant level. Third, the traffic accident forecasting models of S-type and the right turning-downgrade ramp are developed. In the S-type accident rate models, value of linear model is 0.581, value of a cubic model is 0.674. Also in the accident models, shows that value of linear model is 0.713, value of quadratic model is 0.838 and value of a cubic model is 0.834. The statistical tests show that the models are all significant and the nonlinear models are better than the linear models Based on these tests, the followings can be suggested for the safety design of geometric structure in the case of the trumpet interchange. First, from a road safety point of view, it can be advisable that the right turning-upgrade ramps should be carefully designed. Second, the bigger radius of S-type ramp makes the smaller accident rate. Therefore, the bigger radius() in the design of S-type ramp should be recommended to decrease the accidents.
This study deals with the traffic accident at the ramps of trumpet interchange. The purpose of the study is to analyze the relations between the ramp alignments and traffic accidents. In pursuing the above, 142 trumpet interchange (AO, AU, BO and BU) are classified into different type; a characteristic data of ramp alignments are investigated; the expressway traffic accident records(the 720 case of traffic accidents from September 1, 1998. to December 31, 2003) are collected; and the data of expressway traffic volume are calculated(the average annual daily traffic of each ramp is calculated by the expressway origin destination survey). Based on the above research materials, this paper analyzes the relations between the ramp alignments and traffic accidents by hypothesis tests and develops the traffic accident forecasting model in the case of trumpet interchange. To do this works, this study builds and tests the nine null hypotheses. First, the null hypothesis tests show that the accident number and accident rate of turning direction are rejected in 90% and 95% significant level, respectively. Also the null hypothesis tests show that the combination of turning direction-grade and turning direction-radius are all rejected in 95% significant level. Second, the null hypothesis tests on the S-type ramps and the radius() show that the accident number and rate are not rejected in significant level. However the null hypothesis tests on the radius() and the radius differences( and ) show that the accident number and rate are all rejected in significant level. Third, the traffic accident forecasting models of S-type and the right turning-downgrade ramp are developed. In the S-type accident rate models, value of linear model is 0.581, value of a cubic model is 0.674. Also in the accident models, shows that value of linear model is 0.713, value of quadratic model is 0.838 and value of a cubic model is 0.834. The statistical tests show that the models are all significant and the nonlinear models are better than the linear models Based on these tests, the followings can be suggested for the safety design of geometric structure in the case of the trumpet interchange. First, from a road safety point of view, it can be advisable that the right turning-upgrade ramps should be carefully designed. Second, the bigger radius of S-type ramp makes the smaller accident rate. Therefore, the bigger radius() in the design of S-type ramp should be recommended to decrease the accidents.
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