Generating Autonomous Time-Varying Virtual Cities

Honda, Maki; Mizuno, Kazunori; Fukui, Yukio; Nishihara, Seiichi

doi:10.1109/cw.2004.34

Cited by 9 publications

(8 citation statements)

References 8 publications

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“…Comparison to computer graphics simulations: While there is some initial work in urban simulation, we believe that the existing attempts are not developed far enough to be competitive. For example, the grid structure of the simulation could not be overcome by competing approaches [HMFN04, LWW*07, Wat07]. A key aspect for high quality visual output are meaningful street orientations and lot geometry that is not dominated by a regular grid of the simulation.…”

Section: Discussionmentioning

confidence: 99%

Interactive Geometric Simulation of 4D Cities

Weber

Müller²,

Wonka

et al. 2009

Computer Graphics Forum

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We present a simulation system that can simulate a three-dimensional urban model over time. The main novelty of our approach is that we do not rely on land-use simulation on a regular grid, but instead build a complete and inherently geometric simulation that includes exact parcel boundaries, streets of arbitrary orientation, street widths, 3D street geometry, building footprints, and 3D building envelopes. The second novelty is the fast simulation time and user interaction at interactive speed of about 1 second per time step.

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Section: Discussionmentioning

confidence: 99%

Interactive Geometric Simulation of 4D Cities

Weber

Müller²,

Wonka

et al. 2009

Computer Graphics Forum

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“…Several facade-level works have also proposed methods to determine procedural parameter values for individual facades (e.g., [Müller et al 2007;Xiao et al 2008]). Another related set of approaches are those by Honda et al [2004], Weber et al [2009], and Vanegas et al [2009] which integrate urban simulation and urban geometric modeling. With a user-guided process, they define an inverse-like simulation to produce realistic 3D urban models.…”

Section: Related Workmentioning

confidence: 99%

“…A key basis for the popularity of city-scale urban procedural modeling is that once the procedural model is defined, it encapsulates the complex interdependencies within realistic urban spaces [Batty 2007] and enables users, who need not be aware of the internal details of the procedural model, to quickly create large complex 3D city models (e.g., [Parish and Müller 2001;Honda et al 2004;Weber et al 2009;Vanegas et al 2009]). Effectively, the detail amplification inherently provided by procedural modeling is exploited: a small set of succinct input rules and input parameters can yield very complex and coherent outputs.…”

Section: Introductionmentioning

confidence: 99%

Inverse design of urban procedural models

et al. 2012

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Final designNon-optimized sun exposure and interior light Initial residential place types Non-optimized distance to closest park Development site a b c d f e Figure 1: Example Urban Design Process. The user interactively controls a 3D urban model by altering the parameters of an underlying procedural model (forward modeling) or by changing the values of arbitrary target indicator functions (inverse modeling). a) Starting with a development site, b) the user selects an initial urban layout (using templates or "place types"). The layout now has parcel egress but has c) initial undesired values of building sun-exposure and natural interior light, and d) unwanted average distance from buildings to closest parks.The model alterations needed to obtain user-specified local or global values for these indicator values are computed "inversely" resulting in a final design, which is e) seen up close or f) from a distance. In contrast, accomplishing such an output with traditional forward modeling would require either specifically writing a procedural model with the desired parameters or very careful parameter tuning by an expert to obtain the intended results. AbstractWe propose a framework that enables adding intuitive high level control to an existing urban procedural model. In particular, we provide a mechanism to interactively edit urban models, a task which is important to stakeholders in gaming, urban planning, mapping, and navigation services. Procedural modeling allows a quick creation of large complex 3D models, but controlling the output is a wellknown open problem. Thus, while forward procedural modeling has thrived, in this paper we add to the arsenal an inverse modeling tool. Users, unaware of the rules of the underlying urban procedural model, can alternatively specify arbitrary target indicators to control the modeling process. The system itself will discover how to alter the parameters of the urban procedural model so as to produce the desired 3D output. We label this process inverse design.

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“…Honda et al [68] propose an approach to generating virtual cities that vary dynamically over time. They focus on the layout of buildings, roads, and traffic lights.…”

Section: City-scalementioning

confidence: 99%

3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

Aliaga

2012

ISRN Computer Graphics

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.Modeling cities, and urban spaces in general, is a daring task for computer graphics, computer vision, and visualization. Understanding, describing, and modeling the geometry and behavior of cities are significant challenges that ultimately benefit urban planning and simulation, mapping and visualization, emergency response, and entertainment. In this paper, we have collected and organized research which addresses this multidisciplinary challenge. In particular, we divide research in modeling cities and urban spaces into the areas of geometrical modeling and of behavioral modeling. The first area overlaps significantly with computer graphics and computer vision-our focus is on algorithms that produce intricate geometry quickly from a compact set of specifications (i.e., procedural modeling). The second area of behavioral modeling centers on understanding the underlying socioeconomic, meteorological, and resource consumption/waste production processes occurring within an urban space. Research in urban modeling, even from a computer graphics perspective, must tie the two areas of geometric and behavioral modeling together in order to ensure that useful 3D modeling techniques are developed and are placed within their needed context. In addition, we discuss the growing trend of inverse procedural modeling and some sample urban applications.

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Generating Autonomous Time-Varying Virtual Cities

Cited by 9 publications

References 8 publications

Interactive Geometric Simulation of 4D Cities

Interactive Geometric Simulation of 4D Cities

Inverse design of urban procedural models

3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

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