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A User Interface Technique for Analyzing Traffic Paths

We present a technique of the user interface for analyzing large-scale traffic path data. The research aims to remove blurring of walking by approximating lines, and visually distinguish the amount of similar traffic, by representing the similar traffic as bundles of lines. Our technique firstly quantizes the collection of paths, then categorizes the segmented paths, and finally renders the bundles of the segments. Our implementation also provides graphical user interface (GUI) allowing users to interactively explore the various types of data, so that they can adjust the degree of summarization by controlling parameters on the GUI. The technique can visualize various kinds of path data recorded as chronologically ordered positions which form sequential segments, acquired from movies, sensors, and computer simulations. One of the features of the technique is that it can effectively visualize paths in the place where there are not expressly constructed ways. This paper demonstrates the effectiveness of the technique by applying to two types of the path data, where one is acquired by RFID sensors, and the other is extracted from