We're accumulating trajectory data for many services (e.g. crowded analysis and tendency understanding). Now we have more than 50,000,000 trajectories. These data is becoming "Big Trajectory Data". It is necessary to analyze trajectory data and information extraction. In our research, we propose the method for creating main trajectory map and clustering using large-scale trajectory data. We use small and large number of data, in order to show the effectiveness of big data analysis.

  We show the main trajectory map and clustering result. The flow of this method is 1. input trajectory files, 2. Creating main trajectory map and 3. trajectory clustering. Each trajectory is divided as a .csv file and input for trajectory analysis. Main trajectory map shows the frequency of direction and IN/OUT in the field. From the values of main trajectory map, we can understand the environment and execute trajectory clustering.