DocumentCode :
3279789
Title :
MetroBuzz: Interactive 3D visualization of spatiotemporal data
Author :
Zeng, Wei ; Zhong, Chen ; Anwar, Afian ; Arisona, Stefan Muller ; McLoughlin, Ian Vince
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
143
Lastpage :
147
Abstract :
The rapidly increasing use of mobile devices for sensing applications, and the growing amount of simulated data generated from simulation tools such as agent-based transport simulations results in massive spatiotemporal datasets. Therefore, the demand for applications to manage and to visualize this data effectively in an interactive and easily understandable way increases quickly. Spatiotemporal visualization has long been recognized as being able to provide a suitable solution for creating such applications. However it remains a challenging task to combine such a visualization with interactive operation. In this paper, we describe MetroBuzz, a prototype system designed for visualizing large amounts of spatiotemporal data, and for interacting with the dataset in a way that is both interesting from a scientific viewpoint as well as for a broader non-expert audience. At its core, MetroBuzz generalizes activities in urban networks, specified as origin-destination trip information in terms of series of line segments in 3D space. These 3D elements are stored in a spatial index that allows quick retrieval of relevant data. Based on this, we implemented interactive tools to define queries on the spatial index in an intuitive manner. We show how such tools can be applied in the case of large transport simulation datasets.
Keywords :
data visualisation; interactive systems; traffic engineering computing; transportation; MetroBuzz; agent-based transport simulations; interactive 3D visualization; interactive operation; interactive tools; large transport simulation datasets; massive spatiotemporal datasets; mobile devices; origin-destination trip information; prototype system; sensing applications; spatial index; spatiotemporal visualization; urban networks; Androids; Biological system modeling; Humanoid robots; Materials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
Type :
conf
DOI :
10.1109/ICCISci.2012.6297228
Filename :
6297228
Link To Document :
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