期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：Linear referencing represents locations along routes, linear features with an established measurement system, using relative positions. Itallows locating events along routes without segmenting it, and has been applied to manage linear features in transportation and utility. Intransportation, dynamics in variant attributes such as speed limit, number of lanes, surface material, and traffic accidents, are often savedin event tables. Although events can be displayed via dynamic segmentation, there are difficulties in handling dynamics or changes inevents. For example, it is hard to distinguish multiple resurfacing events over time at one location. When variant attributes areassociated, dynamic segmentation split a route into short segments and the display can be greatly slowed down. In this study, I explorealternative approaches, including dynamic segmentation with temporal offset in 2-dimesional (2D) and 3-dimensional (3D) view, andanimation for visualization of dynamics in linear referenced transportation data. In the first approach, temporal offset is introduced as arelative time axis. The older an event is, the closer it is to the route. This method works in the same way for one or variant attributeswithout over-segmentation. Using dynamic segmentation with temporal offset, it is not only fast in visualizing dynamics across differentattributes, but also straightforward for visual analysis of the history in transportation data. The 3D view approach treats the time intransportation data as the third dimension in the space. Compared to dynamic segmentation with temporal offset in 2D, the 3D view isbetter for areas with dense linear features. Dynamics in both 2D and 3D view can be animated. In summary, this study providesalternative visualization for dynamics in linear referenced transportation data. Moreover, these approaches are not limited totransportation data but can be applied toward general dynamics in linear referencing.
关键词：Visualization; temporal; dynamic; linear referencing; transportation
