DocumentCode :
3810583
Title :
Visualization of Simulated Urban Spaces: Inferring Parameterized Generation of Streets, Parcels, and Aerial Imagery
Author :
Carlos A. Vanegas;Daniel G. Aliaga;Bedrich Benes;Paul Waddell
Author_Institution :
Purdue University, West Lafayette
Volume :
15
Issue :
3
fYear :
2009
Firstpage :
424
Lastpage :
435
Abstract :
Urban simulation models and their visualization are used to help regional planning agencies evaluate alternative transportation investments, land use regulations, and environmental protection policies. Typical urban simulations provide spatially distributed data about number of inhabitants, land prices, traffic, and other variables. In this article, we build on a synergy of urban simulation, urban visualization, and computer graphics to automatically infer an urban layout for any time step of the simulation sequence. In addition to standard visualization tools, our method gathers data of the original street network, parcels, and aerial imagery and uses the available simulation results to infer changes to the original urban layout and produce a new and plausible layout for the simulation results. In contrast with previous work, our approach automatically updates the layout based on changes in the simulation data and thus can scale to a large simulation over many years. The method in this article offers a substantial step forward in building integrated visualization and behavioral simulation systems for use in community visioning, planning, and policy analysis. We demonstrate our method on several real cases using a 200-Gbyte database for a 16,300 km2 area surrounding Seattle.
Keywords :
"Data visualization","Computational modeling","Computer simulation","Layout","Land use planning","Urban planning","Transportation","Investments","Protection","Telecommunication traffic"
Journal_Title :
IEEE Transactions on Visualization and Computer Graphics
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2008.193
Filename :
4668343
Link To Document :
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