GAP ACCEPTANCE DECISION MODEL FOR U-TURN MOVEMENT AT MIDBLOCK MEDIAN OPENING

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U-turn movement at the midblock median opening is primarily based on gap acceptance process. This research investigated the factors affecting the u-turn decision of the drivers and evaluated the statistical significance and influence levels of each factor. The u-turn decision prediction model had been developed after finalizing the significant factors. The field data was collected at 3 u-turn locations on an urban arterial in Bangkok, Thailand. The u-turning vehicles in the study included car, taxi, and pick-up, which the passenger car equivalent (PCE) equal to 1. The binary logistic regression technique was employed in the data analysis and model development. From the considered eight factors, gap size, speed of conflicting vehicle, and wait time at the front position of the queue were statistically significant at the confidence interval of 95%. In this study, the effects of wait time and queue time were separately examined. It was interesting to found that the queue time did not significantly affect the u-turn decision. The developed decision model, which explanatory variables included gap size, conflicting speed, and wait time, could predict the u-turn decision well with the percentage correctness of more than 85%.

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