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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
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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

Dynamic Continuum Pedestrian Flow Model with Memory Effect

TL;DR: A macroscopic model for pedestrian flow using the dynamic continuum modeling approach that considers a two-dimensional walking facility that is represented as a continuum within which pedestrians can move freely in any direction.
Posted Content

Human Trajectory Prediction using Spatially aware Deep Attention Models.

TL;DR: An end to end deep learning model to learn the motion patterns of humans using different navigational modes directly from data using the much popular sequence to sequence model coupled with a soft attention mechanism and a novel approach to model the static artefacts in a scene and using these to predict the dynamic trajectories.
Journal ArticleDOI

The Physical Modelling of Human Social Systems

Philip Ball
- 01 Jan 2003 - 
TL;DR: It is shown, with examples ranging from pedestrian dynamics to social choice theory, economics, demography, and the formation of businesses and alliances, that modelling the behaviour of individuals and social and political institutions according to the viewpoint of statistical physics does seem capable of capturing some of the important features of social systems.
Book ChapterDOI

Social distances model of pedestrian dynamics

TL;DR: The presented model describes pedestrian dynamics in a certain limited area in the framework of inhomogeneous, asynchronous Cellular Automata with innovative idea of social distances introduced into the model.
Journal ArticleDOI

Simulation of pedestrian crowds' evacuation in a huge transit terminal subway station

TL;DR: Simulation of the process of pedestrian crowds’ evacuation from a huge transit terminal subway station is conducted using an agent-based model and it is found that, with the increase of the occupant density, the evacuation efficiency would decline and there is a linear relationship between occupant density and evacuation time.
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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