Left-turning vehicles from minor streets tend to generate hazards when merging into major streets at un-signalized T-intersections. However, the characteristics of such behavior have been studied relatively little. In this study, an eight-hour video was recorded at un-signalized T-intersections in Nanjing. Two kinds of data were collected from the video, including 1) vehicle trajectories, as well as the corresponding speed profiles and the time records; 2) vehicle yielding characteristics. Considering merging points, diverging points, and turning radius, vehicle trajectories were clustered into six groups. A binary logistic model was developed to evaluate how traffic flow characteristics affected the yielding behavior of left-turning vehicles. A multinomial logistic model was proposed to formulate the choices for six trajectory patterns. The binary logistic model indicated that vehicles would stop when meeting a platoon. The regression model results of the multinomial logistic model showed that high mainline speed encourages the abnormal trajectory patterns. It was found that well-designed object markers and islands in the T-intersection are able to reduce illegal driving behavior and improve safety.
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