NDLI: Scalable pedestrian simulation for virtual cities

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Scalable pedestrian simulation for virtual cities

Content Provider	ACM Digital Library
Author	Stylianou, Soteris Fyrillas, Marios M. Chrysanthou, Yiorgos
Abstract	Most of the common approaches for the pedestrian simulation, used in the Graphics/VR community, are bottom-up. The avatars are individually simulated in the space and the overall behavior emerges from their interactions. This can lead to interesting results but it does not scale and can not be applied to populating a whole city. In this paper we present a novel method that can scale to a scene of almost any size. We use a top-down approach where the movement of the pedestrians is computed at a higher level, taking a global view of the model, allowing the flux and densities to be maintained at very little cost at the city level. This information is used for stochastically guiding a more detailed and realistic low level simulation when the user zooms in to a specific region, thus maintaining the consistency.At the heart of the system is an iterative method that models the flow of avatars as a random walk. People are moved around a graph of nodes until the model reaches a steady state which provides feedback for the avatar low level navigation at run time. The Negative Binomial distribution function is used to model the number of people leaving each node while the selected direction is based on the popularity of the nodes through their preference-factor. The preference-factor is a function of a number of parameters including the visibility of a node, the events taking place in it and so on.An important feature of the low-level dynamics is that a user can interactively specify a number of intuitive variables that can predictably modify the collective behavior of the avatars in a region; the density, the flux and the number of people can be selectively modified.
Starting Page	65
Ending Page	72
Page Count	8
File Format	PDF
ISBN	1581139071
DOI	10.1145/1077534.1077547
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-11-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Avatars Pedestrian simulation Animation
Content Type	Text
Resource Type	Article

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