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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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Proceedings ArticleDOI

Proactive kinodynamic planning using the extended social force model and human motion prediction in urban environments

TL;DR: This paper presents a proactive navigation approach with respect its environment, in the sense that the robot calculates the reaction produced by its actions and provides the minimum impact on nearby pedestrians.
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An improved Cellular Automata model to simulate the behavior of high density crowd and validation by experimental data

TL;DR: An improved version of the Cellular Automata floor field model making use of a sub-mesh system to increase the maximum density allowed during simulation and reproduce phenomena observed in dense crowds can be used to prevent dense crowd accidents in the future and to investigate the dynamics of the accidents which already occurred in the past.
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The effects of external cues on individual and collective behavior of shoaling fish

TL;DR: Overall, changes in individual behavior and the interactions among individuals in response to external cues coincide with changes in group-level patterns, providing insight into the adaptability of behavior to changes in context and interrelationship between local interactions and global patterns in collective behavior.
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Patient and impatient pedestrians in a spatial game for egress congestion

TL;DR: A spatial game to model the interaction of agents in large crowds evacuating through narrow bottlenecks and shows how threatening conditions can increase the proportion of impatient agents, which leads to clogging and reduced flows through bottlenekks, even when smooth flows would be possible.
Journal ArticleDOI

Modified two-layer social force model for emergency earthquake evacuation

TL;DR: A modified two-layer social force model based on low-density group organization patterns is proposed in this paper to simulate and reproduce a group gathering process and shows that a stable group pattern and a suitable leader could decrease collision and allow a safer evacuation process.
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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