The highway junctions are the areas where frequent congestion occurs due to a conflict between vehicles entering the main road from the connecting road and vehicles passing through the main road, which is the main target of microscopic and macroscopic traffic flow study. The importance of study on the behavior and the interaction between vehicles at the highway junctions has been emphasized as an essential element of the Cooperation Intelligent Transport System (C-ITS) and Autonomous Vehicle technology. In this study, merging location and time of vehicles in acceleration lane of highway merging area is recorded by aerial videos from drones, and vectormodelling method was developed with merging location (y-axis) and merging time (x-axis). In the vector model, the vector region of the traffic flow is represented by the realistic expressible vector region and the stable entry into the highway. The model is compared with the traffic conditions according to speed, traffic volume, and density in main line and connecting road. This study can be used as a basic data for understanding the behavior of vehicles at the highway junctions and It is expected to be used as an operational indicator for advanced transportation such as lamp metering, C-ITS, and Autonomous Vehicle technology to stable traffic flow on the highway.

• Soonbeom Kwon(Dep. of Urban Engineering, Chungang Univ.)
• Taewan Kim(Dep. of Urban Engineering, Chungang Univ.)