D. J. Kaup, R. Oleson, T. L. Clarke, L. Malone, and L. Bölöni

Social Potential Models for Modeling Traffic and Transportation


Cite as:

D. J. Kaup, R. Oleson, T. L. Clarke, L. Malone, and L. Bölöni. Social Potential Models for Modeling Traffic and Transportation. In Ana L. C. Bazzan and Franziska Klügl, editors, to appear as: Multi-Agent Systems for Traffic and Transportation, 2008.

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Abstract:

The``Social Potential'', which we will refer to as the SP, is the name given to a technique of implementing multi-agent movement in simulations by representing behaviors, goals, and motivations as artificial social forces. These forces then determine the movement of the individual agents. Several SP models, including the Flocking, Helbing-Molnar–Farkas-Visek (HMFV), and Lakoba-Kaup-Finkelstein (LKF) models, are commonly used to describe pedestrian movement. A systematic procedure is described here, whereby one can construct and use these and other SP models. The theories behind these models are discussed along with the application of the procedure. Through the use of these techniques, it has been possible to represent schools of fish swimming, flocks of birds flying, crowds exiting rooms, crowds walking through hallways, and individuals wandering in open fields. Once one has an understanding of these models, more complex and specific scenarios could be constructed by applying additional constraints and parameters. The models along with the procedure give a guideline for understanding and implementing simulations using SP techniques.

BibTeX:

@incollection{Kaup-2008-SPF,
   author = "D. J. Kaup and R. Oleson and T. L. Clarke and L. Malone and L. B{\"o}l{\"o}ni",
   title = "Social Potential Models for Modeling Traffic and Transportation",
   booktitle = "to appear as: Multi-Agent Systems for Traffic and Transportation",
   editor = "Ana L. C. Bazzan and Franziska Kl{\"u}gl",
   year = "2008",
   abstract = {
   The``Social Potential'', which we will refer to as the SP, is the name given
   to a technique of implementing multi-agent movement in simulations by
   representing behaviors, goals, and motivations as artificial social forces.
   These forces then determine the movement of the individual agents. Several SP
   models, including the Flocking, Helbing-Molnar–Farkas-Visek (HMFV), and
   Lakoba-Kaup-Finkelstein (LKF) models, are commonly used to describe
   pedestrian movement. A systematic procedure is described here, whereby one
   can construct and use these and other SP models. The theories behind these
   models are discussed along with the application of the procedure. Through the
   use of these techniques, it has been possible to represent schools of fish
   swimming, flocks of birds flying, crowds exiting rooms, crowds walking
   through hallways, and individuals wandering in open fields. Once one has an
   understanding of these models, more complex and specific scenarios could be
   constructed by applying additional constraints and parameters. The models
   along with the procedure give a guideline for understanding and implementing
   simulations using SP techniques.
   }
}

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