Management of spatio-temporal data for dynamic segmentation in transportation application

Lan Gui; Jianya Gong

doi:10.1117/12.653540

2 December 2005 Management of spatio-temporal data for dynamic segmentation in transportation application

Lan Gui, Jianya Gong

Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60451A (2005) https://doi.org/10.1117/12.653540
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

There have been many research studies focusing on linear data modeling for transportation application. However, research on spatio-temporal modeling is still in its infancy, which limits transportation agencies to implement improved solutions. Transportation applications offer challenges to GIS technology. Not only are the attributes of transportation features dynamic, but also many features are dynamic. The authors firstly review the definition and characteristics of dynamic segmentation, an important technology in transportation application. The paper then presents a data model for dynamic segmentation with timing dimension and its implementation. This paper shows the design of spatio-temporal data structure. Both linear elements and events are tagged with start and end temporal expressions, thus it makes temporal querying easier. Segment geocoding, segment overlay and data maintenance is discussed in detailed.

Citation Download Citation

Lan Gui and Jianya Gong "Management of spatio-temporal data for dynamic segmentation in transportation application", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60451A (2 December 2005); https://doi.org/10.1117/12.653540

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