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Open AccessJournal ArticleDOI

Social Force Model for Pedestrian Dynamics

Dirk Helbing, +1 more
- 01 May 1995 - 
- Vol. 51, Iss: 5, pp 4282-4286
TLDR
Computer simulations of crowds of interacting pedestrians show that the social force model is capable of describing the self-organization of several observed collective effects of pedestrian behavior very realistically.
Abstract
It is suggested that the motion of pedestrians can be described as if they would be subject to ``social forces.'' These ``forces'' are not directly exerted by the pedestrians' personal environment, but they are a measure for the internal motivations of the individuals to perform certain actions (movements). The corresponding force concept is discussed in more detail and can also be applied to the description of other behaviors. In the presented model of pedestrian behavior several force terms are essential: first, a term describing the acceleration towards the desired velocity of motion; second, terms reflecting that a pedestrian keeps a certain distance from other pedestrians and borders; and third, a term modeling attractive effects. The resulting equations of motion of nonlinearly coupled Langevin equations. Computer simulations of crowds of interacting pedestrians show that the social force model is capable of describing the self-organization of several observed collective effects of pedestrian behavior very realistically.

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Citations
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Journal ArticleDOI

Modeling Supply Networks and Business Cycles as Unstable Transport Phenomena

TL;DR: In this article, the authors generalized physical concepts developed to describe instabilities in traffic flows to allow one to understand the well-known instability of supply chains (the so-called ''bullwhip effect'').
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A dynamic network loading model for anisotropic and congested pedestrian flows

TL;DR: The explicit modeling of anisotropy in walking speed is shown to significantly improve the ability of the model to reproduce empirically observed walking time distributions.
Proceedings ArticleDOI

Interactive and adaptive data-driven crowd simulation

TL;DR: An adaptive data-driven algorithm for interactive crowd simulation that combines realistic trajectory behaviors extracted from videos with synthetic multi-agent algorithms to generate plausible simulations.
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Experiments in artificial theory of mind: From safety to story-telling

TL;DR: This paper proposes a simulation-based internal model that equips a robot with an internal model of itself and its environment, including other dynamic actors, which can test the robot's next possible actions and hence anticipate the likely consequences of those actions both for itself and others.
Proceedings ArticleDOI

A simulation of attempts to influence crowd dynamics

TL;DR: Preliminary results indicate that robots capable of inducing an attractive social force are effective at improving pedestrian flow in both of these scenarios.
References
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Book

Field theory in social science

Kurt Lewin
Book

Kinetic theory of vehicular traffic

TL;DR: A theory of multi-LANE traffic flow and the space-time evolution of thevelocity distribution of cars are examined to help understand the role of driver behaviour and strategy in this network.
Journal ArticleDOI

Improved fluid-dynamic model for vehicular traffic.

TL;DR: The fluid-dynamic traffic model of Kerner and Konh\"auser is extended by an equation for the vehicles' velocity variance, able to describe the observed increase of velocity variance immediately before a traffic jam develops.
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